Preview - Visiting Student Semester Undergraduate Research Assistantship

Students from NYU in New York and NYU Shanghai who wish to build their research experience during a semester abroad may apply for competitive Undergraduate Research Assistantships for fall, spring, or both semesters.

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Deadline: March 15, 2025, 5pm GST

Video: Visiting students and NYUAD faculty share their experiences with Research Assistantships.

The assistantship creates a platform for visiting students to contribute to an ongoing research project under the supervision of an NYUAD faculty member, who will serve as a mentor, collaborator, and role model. Additionally, students will have access to state-of-the-art research facilities on campus. Previous student assistantship work has been varied and included laboratory sample preparation and field experiments, experimental data analysis, collecting original data, analyzing quantitative data, writing literature reviews or research reports, and filming videos to assist with research outreach and communication.

Two students working together with blue water bottle caps and other materials in the NYUAD Plastic Recycling Research Lab.

Eligibility Criteria

To be eligible for the research assistantship, students must:

be currently enrolled in full-time undergraduate study at NYU New York or NYU Shanghai
have completed a minimum of 40 credit hours of study before coming to NYU Abu Dhabi
have applied to study at NYU Abu Dhabi for semester study. Only students who are admitted to study abroad at NYUAD will be considered.
be physically present on campus in Abu Dhabi for the relevant semester of the assistantship
have a cumulative GPA of 3.0 or above with a good overall academic and disciplinary record
have a demonstrated interest in and preparation for the research or its equivalent in the arts

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Apply now for fall 2025 positions.

Two students walking in a chemistry lab at NYUAD, holding samples.

Assistantship Package

An assistantship award of up to USD 3,000. USD 1,000 will be applied towards the required meal plan on campus. The remaining funding of up to USD 2,000 for the semester will be paid on a monthly basis as assistantship payments (based on hours worked) for the student’s contribution to the assigned research project.
Assistantship recipients are expected to take part in the allocated research project for no fewer than 10 hours and up to 15 hours per week. If students commit to the full 15 hours per week, they will not have access to any further paid on-campus jobs.
Assistantship recipients are expected to work on their research project for the duration of the semester.
Spring semester assistantship award recipients may have the opportunity of continuing the research project full-time in the subsequent summer by applying to the Summer Visiting Undergraduate Research Program.

Positions

The research assistantship positions span a number of disciplines within the Arts and Humanities, Engineering, Science, and Social Sciences. Please see below for available positions. Students may apply for up to three positions but must submit a separate form for each application.

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Arts and Humanities
Engineering
Science
Social Science
Business and Economics

Arts and Humanities and Art Apprenticeship Positions

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities; Interdisciplinary
Faculty Supervisor's Name:	Amar Ahmad and David Wrisley
This research project delves into the rich visual tapestry of Sufi art, known for its intricate geometric patterns and spiritual symbolism, representing the mystical journey of the soul in Islam. The primary aim is to harness the computational power of RStudio to create mathematical algorithmic models that replicate and innovate upon traditional Sufi art motifs. By developing a code-based methodology, the student will seek to bridge the gap between the mathematical precision of generative art and the organic fluidity of Sufi aesthetic principles. Objectives: 1) Pattern Analysis and Algorithm Development: Conduct a thorough investigation of historical Sufi art to identify key visual elements and geometric motifs. Develop R algorithms capable of generating complex patterns that resonate with the traditional Sufi style. 2) Cultural Aesthetic Quantification: Create a framework within R to quantify elements of Sufi aesthetics, allowing for a nuanced comparison between traditional artworks and algorithmically generated pieces. 3) Algorithm Effectiveness and Style Emulation: Evaluate the effectiveness of generative algorithms by comparing the generated artwork against traditional Sufi patterns. Assess the quality of the emulation not just in terms of visual similarity, but also in its ability to evoke the same sense of spiritual contemplation and mysticism. Methodology: 1) Data Collection: Gather a dataset of Sufi artworks, cataloging elements such as color, pattern complexity, and symbolic imagery. 2) Pattern Recognition: Use image processing techniques to extract key features of Sufi designs and translate them into generative rules. 3) Generative Model Implementation: Implement these rules in R, creating a suite of functions that can generate new artworks. 4) Comparative Analysis: Develop a mixed-methods approach to compare traditional and generated artworks, incorporating both computational similarity metrics and human subject surveys to capture aesthetic and emotional responses. Expected Outcomes: 1) A robust R-based generative model for Sufi art patterns. 2) A comparative study revealing insights into the algorithm's capacity to capture the essence of Sufi art. 3) A discussion on the implications of using computational methods to replicate and extend traditional cultural art forms.
Skills Needed:
The ideal candidate for the Sufi art project will possess a robust skill set that combines proficient knowledge of R programming with a mathematical background, allowing for sophisticated data analysis and algorithm development. A passion for art and aesthetics is crucial, especially an appreciation for the cultural and spiritual nuances of Sufi art. Furthermore, the role demands sharp analytical thinking and problem-solving abilities to navigate and synthesize complex patterns and concepts, bridging the gap between computational precision and artistic expression.
Class Level:	All
Major:	All
Other Requirements:	The candidate should excel in communication and teamwork, displaying the ability to articulate complex ideas clearly and collaborate effectively with diverse teams. A dedication to continuous learning is essential, indicating a willingness to stay abreast of evolving practices and technologies. Additionally, the role requires a talent for interdisciplinary collaboration, merging insights from various fields to enhance the richness and depth of the research project.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Ghazi Faisal Al-Mulaifi
Production assistant for the Boom Diwaniya 2nd Edition
Skills the Student Will Gain:
Professional level music production skills, music performance curatorial skills, and musical technology skills.
Skills Needed:
Scheduling a production Willingness to multi-task for a large-scale musical production Basic live music technical skills
Class Level:	Any
Major:	Music technology, Music business, Music performance
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Michael Ang
The student will prototype interactive devices and research background material for the professor’s artistic research and forthcoming “media art outside” Interactive Media course. The interactive devices will involve sensors, lights, and motors and will be deployed in the local desert environment as research into the interaction between humans, technology, and the environment. The assistant will also help prepare tutorials and other documentation.
Skills the Student Will Gain:
The student will gain hands-on experience creating media artworks that can be deployed outside, including the possibility of conducting field work in the desert. The skills include rapid prototyping, interaction design, electronics, media art theory, writing, and documentation.
Skills Needed:
Candidates should have some experience with physical computing (Arduino, LEDs, soldering, etc.). Experience with interaction design is also desirable. Candidates with less technical experience but a strong interest in the conceptual interaction between humans/technology/nature also encouraged to apply.
Class Level:	Junior, senior
Major:	Interactive media arts, design, computer science, or related major
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Domna Banakou
Participate in the design and development of experimental models; engage in the development of experimental scenarios using immersive technology tools; develop hypotheses (on cognitive science) and propose adequate methodological solutions that take into account the measurement of behavior and brain functions involved in the processes; conduct experimental studies with human participants; maintain quality standards to preserve the integrity of data and findings; analyze data using various statistical methods; write reports to summarize data and the implications of the results; be able to take initiative in contexts that require participation, proposing ideas based on a scientific research and the population to be analyzed. Register and save the documentation (consent forms, questionnaires, etc.) according to the legal regulations of the institution.
Skills the Student Will Gain:
Experimental techniques of cognitive research that allow students to connect the studies in a largely autonomous way within the research framework of Cognitive Science and the study of the brain. Research problem solving by means of experimental methodology in the various areas of Cognitive Science and ability to critically evaluate the main contemporary contributions of these areas. Correct evaluation and interpretation of the hypotheses, results, conclusions and referenced sources. Use of new immersive technologies adapted to experimental research in order to understand the brain functions responsible for the analyzed behaviors. Involvement in research using the latest immersive technologies to study human behavior.
Skills Needed:
Technical ability in immersive technologies (Unity C#, Mocap, 3D Modeling, HMDs), learning ability, work management, oral and written communication skills, sense of responsibility, ease of adaptation, creativity and initiative, personal involvement, punctuality, relationship with the work environment, ability to teamwork, receptivity to criticism.
Class Level:	Junior, senior
Major:	Digital arts, interactive media, game design, computer science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Wendy Bednarz
The successful applicant will research feature film development and assist on fine art photography shoots, including production design.
Skills the Student Will Gain:
Deeper understanding of feature filmmaking
Skills Needed:
Organized, professional, detail-oriented, and an interest in the visual arts, particularly film and photography. Proficiency in Photoshop a plus.
Class Level:	Any
Major:	Any
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Alexis Gambis
Website Designer and UX/UI Developer for a science film streaming platform
Skills the Student Will Gain:
Students will learn how to work for an initiative that bridges science and arts, developing and enhancing tools and interfaces for science communication in film.
Skills Needed:
Front-end development, UI/UX, interest in film and interactive media
Class Level:	Junior, senior
Major:	Interactive media, computer science
Other Requirements:	We will select one student that will work closely with the PI (Alexis Gambis), film programming team, and back-end developers.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Marsha Ginsberg
Photoshopping some photographic documents Scanning images and hard copies Work to create a new system for organizing digital archive Maintain archive Google searching for relevant information or research
Skills the Student Will Gain:
Photo editing skills; exposure to working methodologies of professional artist/designer; archival organization and concept
Skills Needed:
Highly organized, Photoshop photo editing; proficiency in organizing systems on dropbox and external hard drives, attention to detail
Class Level:	Junior, senior
Major:	Visual arts; IM; Film; Theater Design
Other Requirements:	Commitment to a set of mutually arranged weekly hours, good communication, and commitment

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Music and Sound Cultures Research Group
Faculty Supervisor's Name:	Carlos Guedes
Assist the group with computational analysis of non-Eurogenetic music, involving artificial intelligence and deep learning and develop computational algorithms that generate the analyzed styles in order to develop data augmentation techniques for the deep learning algorithms.
Skills the Student Will Gain:
Experience with state-of-the-art algorithms in computational analysis of music, learning the latest trends and algorithms in computational analysis and generation of music.
Skills Needed:
Experience in Python programming and/or C/C++, experience in use of computer programming languages.
Class Level:	Junior or senior
Major:	Computer science, computer/electrical engineering, interactive media
Other Requirements:	Team player, and curious about this field

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Music and Sound Cultures Research Group
Faculty Supervisor's Name:	Carlos Guedes
Assist the research group with field recordings, editing and denoising recordings of traditional music, prepare the recordings for perpetual archiving according to the best practices.
Skills the Student Will Gain:
Hands-on experience with state-of-the-art recording techniques in ambisonics, 3D audio; expertise in Pro Tools and software for audio decoding and denoising; best practices in sonic archiving and metadata tagging of recordings.
Skills Needed:
Curiosity, drive, and previous experience with recording (preferable)
Class Level:	Sophomore and above
Major:	Music, music technology, interactive media
Other Requirements:	This will be to do recordings of Emirati traditional music.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	The Arts Center
Supervisor's Name:	Lana Goliath, Senior Associate Producer
The Producing Assistantship will assist the Producing Department at The Arts Center at NYU Abu Dhabi with planning and logistics for all The Arts Center’s events during the spring 2025 season. During each residency, the Producing Intern will work closely with producers and shadow as much of the artist’s events schedule as they can and assist with problem solving and event management. Interns will become The Arts Center ambassadors by promoting shows and events on various student portals amongst their peers. This assistantship is very flexible depending on schedule and interest, but it does require students to be based in the UAE. Students will be required to commit to a minimum of 15 hours per week, which will include evenings and weekends. Weekly shifts will include consistent time slots that can be planned ahead of time, and varied hours depending on The Arts Center’s events. Below are the intern responsibilities: - Be passionate about the performing arts and eager to learn and grow in arts administration. - Attend performances and various Off The Stage events (workshops, Arts Chats, community meals, post show Q&A’s) on and off campus. - Carry out specific duties in preparation for artist arrivals: preparing dressing rooms, welcome bags, scheduled and on-site checks, meeting artists on arrival when necessary with producers. - Distribute and advertise performances and events via student portals and social media. - Actively brainstorm ways of building a dynamic art community on campus, along with encouraging students to participate in Arts Center performances and events. - Perform admin tasks, including, but not limited to: budget and petty cash tracking and reconciliation, updating calendars and schedules, and working on monthly activities reports. - Represent the Arts Center at Student Interest Groups and inform students of events and shows. - Moderate Arts Chats with panel of 3-4 artists with the guidance of the producers. - Serve as ambassadors to participate and potentially organize focus groups with peer groups and students.
Skills the Student Will Gain:
Administrative, problem solving, communication and teambuilding skills. Many of our students interns have gained so much confidence through working within the team.
Skills Needed:
Attention to detail, an eagerness to learn and expand knowledge in admin and producing. An interest in the performing arts. Friendly and a team player.
Class Level:	Sophomore and above
Major:	Any
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Dale Hudson
Working with curators on inviting submissions for online (and perhaps also on-site) exhibitions of visual art and film/video Logging submissions (links to screeners or documentation; attention to details of media, length, dimensions, year, etc.) Preparing and distributing publicity materials. Other responsibilities involve working on forthcoming publications on everything from permissions for reproduction of images to researching particular topics and preparing a dossier.
Skills the Student Will Gain:
Insights and practical experience in curating exhibitions (online and perhaps on-site) and academic publishing, both of which involve research skills in the arts with a focus on ecologies and on the Peninsula and Gulf.
Skills Needed:
Strong organizational and communication skills; working knowledge of visual art, film, and digital media outside North American context
Class Level:	Sophomore and above
Major:	Visual arts; media, culture, and communication; cinema studies; interactive arts; cultural studies
Other Requirements:	Knowledge of Arabic is a plus, but not a requirement.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Fiona Kidd
Orthorectify in ArcGIS Corona satellite imagery. Systematically survey the Corona images for anthropogenic sites. Sart to catalogue previously identified sites in the Qyzylkum using Google Earth. Help compile maps of roads and tracks through the desert.
Skills the Student Will Gain:
By the end of the project students will have a strong working knowledge of aspects of ArcGIS, and will have an understanding of how to identify and classify anthropogenic sites.
Skills Needed:
Must have experience working with ArcGIS.
Class Level:	All levels
Major:	Any
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Fiona Kidd
The aim of the assistantship is to provide insights into how steppe/desert locations in Central Asia have been inhabited over time. The student will be required to search for, read and summarise Russian language historical and ethnographic literature about how the steppe/desert was inhabited. You will be required to write up a short summary of the literature, noting the relevant page numbers and/or quotes. This work is part of a larger project to understand how the Qizilqum (straddling Uzbekistan and Kazakhstan) was inhabited, and moved through, over time.
Skills the Student Will Gain:
Close reading, reading for detail; Time management; Summarising and writing skills; Strong communication skills
Skills Needed:
Russian language skills are a must. The summaries will be written in English. Attention to detail, and good written skills are critical.
Class Level:	Upper class levels
Major:	Any
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Marwa Koheji
Read through and log archival research (in English), literature review, and referencing.
Skills the Student Will Gain:
Research skills, working with archives; writing Skills, critical reading skills for literature review
Skills Needed:
No prior experience is needed. It's an opportunity to cultivate student skills.
Class Level:	Sophomore and above
Major:	History; but can be anyone interested in Middle East/Gulf studies and/or anthropology
Other Requirements:	I am an anthropologist, and my work is both ethnographic and archival.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities: Noise Pollution in Abu Dhabi
Faculty Supervisor's Name:	Matteo Marciano
Perform literature reviews conduct research and summarize findings, prepare progress reports, edit music pieces, attend project meetings. This research aims to unveil the level of noise pollution impacting natural life in Abu Dhabi. The goal of this research is to demonstrate the impacts of large-scale urban development on both human and wildlife populations through acoustic surveys recording biophonic and anthropogenic sounds. The focus is to minimize the detrimental effect of noise on humans and animals in Abu Dhabi.
Skills the Student Will Gain:
Mixing audio and its relation with cognition and neuroscience, music technology
Skills Needed:
A degree in a field related to the study Excellent administration skills Knowledge of research methods. Ability to multitask. Ability to work under pressure. Excellent time management skills
Class Level:	Studying as a sophomore OR senior student
Major:	Music, Psychology, Computer Science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities: Audio Technology and Cognition
Faculty Supervisor's Name:	Matteo Marciano
Are you passionate about unraveling the intricate relationship between music and emotional experience? Would you like to contribute to groundbreaking research in the field of Music Cognition? If so, we have an exciting opportunity for you! Professor Marciano's research explores the complex and multifaceted phenomenon of how music shapes our emotional experiences, focusing on the mixing aspect. As a Student Assistant in Music Cognition, you will: Conduct Research: Utilize your knowledge of qualitative and quantitative research methodologies to explore the emotional nuances embedded in various musical elements, including melody, harmony, rhythm, dynamics, and advanced music-technology aspects. Work closely with an experienced professor in designing and executing experiments that aim to uncover how music resonates with listeners on a deeply emotional level. Be at the forefront of creating innovative experiments that contribute to our understanding of the interplay between music and emotions.
Skills the Student Will Gain:
Gain hands-on experience in the field of Music Cognition. Collaborate with renowned experts in the realm of music research. Contribute to publications and be part of groundbreaking discoveries.
Skills Needed:
Enthusiastic about music and its impact on emotions Background in psychology Basic knowledge of audio Proficient in conducting both qualitative and quantitative research Proficient in using Qualtrics Strong organizational and communication skills
Class Level:
Major:
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities, Al Mawrid
Faculty Supervisor's Name:	Salwa Mikdadi
Research related to the study and preservation of modern and contemporary Arab art and artists. Work includes library research on this and related topics as well as digitizing and/or transcribing interviews with artists.
Skills the Student Will Gain:
In-depth archival research skill, involvement in rigorous interdisciplinary research
Skills Needed:
Able to use all data source types in the Humanities. Ability to multi-task, prioritize, strong project management, and past research experience. Fluency in Arabic
Class Level:	Junior
Major:	Art history, Middle Eastern studies
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Merritt Moore
Project: Dance performance/installation with robots 1. Assisting in the development and programming of robotic movements to complement choreography. 2. Conducting research on motion capture, robotic responsiveness, and interactive systems. 3. Supporting the setup and maintenance of robotic equipment for rehearsals and performances. 4. Contributing to creative brainstorming sessions to explore innovative ways to integrate robotics in dance. 5. Documenting the research process and performance outcomes for future publications or presentations. 6. Assisting in organizing installations and live performances, ensuring the seamless interaction between dancers and robots.
Skills the Student Will Gain:
1. Technical Experience: programming for robotics, motion capture, and interactive systems, as well as experience with tools such as ROS (Robot Operating System) 2. Problem-Solving: Enhanced ability to troubleshoot technical issues with robotics and adapt to challenges during live performances. 3. Project Management: Experience in organizing and executing installations or performances, including managing timelines and coordinating equipment setup. 4. Research and Documentation: Skills in documenting research findings, performance outcomes, and writing for academic or public dissemination. 5. Interdisciplinary Collaboration: Exposure to working across fields, blending art and technology, and communicating effectively with both technical and artistic teams.
Skills Needed:
1. Technical Background: Familiarity with programming languages (e.g., Python, C++), robotics platforms (e.g., ROS), or motion capture software is valuable. Basic understanding of robotics hardware and sensors is also helpful. 2. Problem-Solving Skills: Ability to troubleshoot technical and logistical challenges, especially during rehearsals and live performances. 3. Project Management: Highly organized. Experience in production or event management can be useful. 4. Research Skills: Experience with documenting research, writing reports, or contributing to academic papers. 5. Interdisciplinary Communication: Ability to collaborate across fields and communicate effectively with both technical and artistic team members.
Class Level:	Senior
Major:	Computer science, Interactive media, engineering
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities, the "Anthropocene: Urbanism, the Environment, and Sustainability" Arts and Humanities Research Kitchen
Faculty Supervisor's Name:	Sarah Paul
Duties include but are not limited to: - Assists with carrying out a variety of research activities (activities will be interdisciplinary by nature and will involve artistic endeavors). - Assists in the design, management and reporting of multiple interdisciplinary projects to internal and external stakeholders - Assists in building relationships with existing and potential funders, research partners, research sites, etc. - Assists with delivering programming for each kitchen such as seminars, working groups, workshops, etc. - Assists in proposal/grant-writing, drafting progress reports, etc. - Assists the research team with disseminating research results, helping to prepare manuscripts and presentations.
Skills the Student Will Gain:
- Experience with research in the arts and humanities, including creative artistic research - Excellent written and verbal skills. - Ability to work collegially with a wide range of faculty, staff, and external stakeholders. - Knowledge of/interest in working with creative artistic research - Experience with fundraising and grant writing
Skills Needed:
Experience with research in Arts and Humanities is desirable.
Class Level:	Junior, senior
Major:	A major in an area of Arts and Humanities is preferred
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities, the "Heritage, Memory, and Mobility" Arts and Humanities Research Kitchen
Faculty Supervisor's Name:	Sarah Paul
Duties include but are not limited to: - Assists with carrying out a variety of research activities (activities will be interdisciplinary by nature and will involve artistic endeavors). - Assists in the design, management, and reporting of multiple interdisciplinary projects to internal and external stakeholders - Assists in building relationships with existing and potential funders, research partners, research sites, etc. - Assists with delivering programming for each kitchen such as seminars, working groups, workshops, etc. - Assists in proposal/grant-writing, drafting progress reports, etc. - Assists the research team with disseminating research results, helping to prepare manuscripts and presentations.
Skills the Student Will Gain:
- Experience with research in the arts and humanities, including creative artistic research - Excellent written and verbal skills. - Ability to work collegially with a wide range of faculty, staff, and external stakeholders. - Experience with fundraising and grant writing
Skills Needed:
Some experience with research in Arts and Humanities is desirable.
Class Level:	Junior, senior
Major:	A major in an area of Arts and Humanities is preferred
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities, the "Human Rights in and for the 21st Century" Arts and Humanities Research Kitchen
Faculty Supervisor's Name:	Sarah Paul
Duties include but are not limited to: - Assists with carrying out a variety of research activities (activities will be interdisciplinary by nature and will involve artistic endeavors). - Assists in the design, management and reporting of multiple interdisciplinary projects to internal and external stakeholders - Assists in building relationships with existing and potential funders, research partners, research sites, etc. - Assists with delivering programming for each kitchen such as seminars, working groups, workshops, etc. - Assists in proposal/grant-writing, drafting progress reports, etc. - Assists the research team with disseminating research results, helping to prepare manuscripts and presentations.
Skills the Student Will Gain:
- Experience with research in the arts and humanities, including creative artistic research - Excellent written and verbal skills. - Ability to work collegially with a wide range of faculty, staff, and external stakeholders. - Knowledge of/interest in working with creative artistic research - Experience with fundraising and grant writing
Skills Needed:
Experience with research in Arts and Humanities is desirable.
Semester:	Fall 2023, spring 2024, or both semesters
Class Level:	Junior, senior
Major:	A major in an area of Arts and Humanities is preferred
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities, the "Writing, Languages, and Pedagogy" Arts and Humanities Research Kitchen
Faculty Supervisor's Name:	Sarah Paul
Duties include but are not limited to: - Assists carrying out a variety of research activities (activities will be interdisciplinary by nature and will involve artistic endeavors). - Assists in the design, management and reporting of multiple interdisciplinary projects to internal and external stakeholders - Assists in building relationships with existing and potential funders, research partners, research sites, etc. - Assists with delivering programming for each kitchen such as seminars, working groups, workshops, etc. - Assists in proposal/grant-writing, drafting progress reports, etc. - Assists the research team with disseminating research results, helping to prepare manuscripts and presentations.
Skills the Student Will Gain:
- Experience with research in the arts and humanities, including creative artistic research - Excellent written and verbal skills. - Ability to work collegially with a wide range of faculty, staff, and external stakeholders. - Knowledge of/interest in working with creative artistic research - Experience with fundraising and grant writing
Skills Needed:
Experience with research in Arts and Humanities is desirable.
Class Level:	Junior, senior
Major:	A major in an area of Arts and Humanities is preferred
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities, the "Writing, Languages, and Pedagogy" Arts and Humanities Research Kitchen
Faculty Supervisor's Name:	Sarah Paul
Duties include but are not limited to: - Assists with carrying out a variety of research activities (activities will be interdisciplinary by nature and will involve artistic endeavors). - Assists in the design, management and reporting of multiple interdisciplinary projects to internal and external stakeholders. - Assists in building relationships with existing and potential funders, research partners, research sites, etc. - Assists with delivering programming for each kitchen such as seminars, working groups, workshops, etc. - Assists in proposal/grant-writing, drafting progress reports, etc. - Assists the research team with disseminating research results, helping to prepare manuscripts and presentations.
Skills the Student Will Gain:
- Experience with research in the arts and humanities, including creative artistic research - Excellent written and verbal skills - Ability to work collegially with a wide range of faculty, staff, and external stakeholders - Knowledge of/interest in working with creative artistic research - Experience with fundraising and grant writing
Skills Needed:
Experience with research in Arts and Humanities is desirable.
Class Level:	Junior, senior
Major:	A major in an area of Arts and Humanities is preferred
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities/Interdisciplinary
Faculty Supervisor's Name:	Aya Riad
Project: Affective 3D printed fashion - Exploring multi-modal affective computing - Physical computing integration into wearables and fashion - Materiality studies of various 3D printing technologies and materials (with a focus on soft and flexible ones) - 3D modelling prototypes
Skills the Student Will Gain:
Affective computing methods and the integration of emotive AI, Ubiquitous physical computing, 3D printing technologies, Scripting for parametric design.
Skills Needed:
3D modelling (Rhino/Grasshopper experience is a plus) Familiarity with 3D printing Fundamentals of physical computing Curiosity and passion for inter-disciplinary research
Class Level:	Junior
Major:	Interactive Media
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Joanna Settle
Support and organize Professor Settle’s research on projects she will be directing (theater, opera, and performance art) and potentially support research into social impact strategies for the division.
Skills the Student Will Gain:

Skills Needed:
Excel and word experience, detail oriented
Class Level:	All Years
Major:	Theater, Music, Performance Studies, Art,
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Aaron Sherwood
Working with Interactive Media Prof. Aaron Sherwood (https://www.aaron-sherwood.com/works.html), students will help build large-scale interactive art installation projects that use technology to be exhibited around the world. Students will work on a team to help construct and assemble several large projects already in progress. Students will also have opportunities to explore creative coding and physical computing patterns in the context of interactive art. The work will be varied.
Skills the Student Will Gain:
Students will learn, experientially, what is necessary to bring a large interactive art/technology project to life. They will also deepen their understanding of coding and software development for embedded systems as well as in online formats. They will have the chance to learn (or further their understanding) in several of the following: computer graphics, computer vision techniques, large-scale networked motorized systems, microcontrollers, installation design processes, and front and back end web development.
Skills Needed:
Prior experience with microcontrollers, soldering, simple construction/assembly, design, & coding is helpful.
Class Level:	All Years
Major:	Any Major
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	Nimrah Syed
The student will work on hands-on prototype iterations and work with front-end web development tools. Additionally, the student will support workshop activities by assisting with preparation, facilitation, and audio/visual documentation. Responsibilities include logistical setup and fostering participant engagement during workshops and data collection & synthesis post workshops.
Skills the Student Will Gain:
The student will build practical skills in front-end web development, graphic / interaction design, and hands-on experience with rapid prototyping. Additionally, they will enhance their abilities in facilitation, workshop preparation, and audio/visual documentation, gaining valuable experience at the intersection of technology, design, and human interaction.
Skills Needed:
Technical ability in technologies (front end web dev, physical computing, graphic/interaction design). Additionally, experience using generative AI tools is desirable. Softer skills of learning, adaptability, work management, communication skills, and ability to teamwork.
Class Level:	Junior, senior
Major:	Interactive media, computer science or related major
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arts and Humanities
Faculty Supervisor's Name:	William Gerard Zimmerle
One research assistant will become a member of an interdisciplinary team of NYUAD scholars under the direction of Dr. William Zimmerle (PI), Senior Lecture in Arts and Humanities, whose project investigates Arabian perfumes, scents, fragrances and color dyes in the United Arab Emirates. The assistant will learn how to test organic residue samples by operating Liquid Chromatography/Mass Spectroscopy-Mass Spectroscopy (LC-MS-MS), conduct ethnographic interviews with fragrance artists and perfumers in Abu Dhabi, study/mine/prepare bibliographies of historical-Islamic texts on perfumery, as well as help to analyze complex data and work to build a database of digital signatures for scents and perfumes from on campus experiments for an online project website and book manuscript. The assistant will master both perfumery skills and the ability to write and edit scientific scholarship about Arabian scents effectively.
Skills the Student Will Gain:
Laboratory skills in Chemistry; Heritage studies and ethnographic interviews; data analysis; historical text mining; knowledge of Abu Dhabi's fragrance markets; editing manuscripts
Skills Needed:
Willingness to learn new skills
Class Level:	Sophomore and above
Major:	Chemistry; Biology; History/Art History; Anthropology/Archaeology; Interdisciplinary Studies
Other Requirements:

Engineering Positions

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Mohamad Eid
The Research Assistant will work on research projects in the area of neurohaptics — the neuroscience of touch. Projects involve developing experimental protocols to understand how touch information (such as vibration or thermal stimulation) are encoded in the brain using EEG systems. Key responsibilities include: EEG data collection, EEG data analysis, machine learning, and project documentation (including publication).
Skills the Student Will Gain:
The student will gain skills in designing experimental protocols and conducting human subject research using EEG systems. Students will also learn about how to apply machine learning algorithms.
Skills Needed:
The candidate should be able to develop simple computer programs (Python or C++). Having a background in machine learning is definitely a bonus. The candidate should be self-driven and interested in haptics, neuroscience, or machine learning.
Class Level:	All levels
Major:	Electrical engineering, computer engineering, computer science, psychology, or neuroscience
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Mohamad Eid
Develop haptics and VR dental training simulation using Unity 3D game engine.
Skills the Student Will Gain:
C+ programming, 3D modeling
Skills Needed:
Programming
Class Level:	All levels
Major:	Computer science, computer engineering, electrical engineering
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Yi Fang
Research assistant is expected to work closely with Professor and/or other senior researchers in my lab to design and implement deep learning-based computer vision algorithms, carry out scientific experiments to validate the research development, write scientific papers and reports.
Skills the Student Will Gain:
Programming skills in python for machine learning and computer vision development, scientific presentation and writing skills
Skills Needed:
Intermediate level in python programming and machine learning
Class Level:	All levels
Major:	Computer science, computer engineering, and applied math
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	startAD
Faculty Supervisor's Name:	Ramesh Jagannathan
Assist in planning and executing startAD programs under the startAD banner, including scouting for startups. Gathering, analyzing, and summarizing data that supports in building and designing startAD’s upcoming programs Coordinate data collected from the programs and maintain documentation from programs’ activities. Building PowerPoint presentations of key findings and takeaways from reports, research, and related events. Attend events when appropriate and assigned. Assist the Marketing and Communications’ team in their programs communications strategy. Support Operations’ team in showcase day design and implementation.
Skills the Student Will Gain:

Skills Needed:
Strong verbal and written skills Strong research analytics skills Strong problem solving skills Strong organizational skills with the ability to manage and prioritize multiple tasks while sticking to deadlines Candidate should be creative and expert in finding data, identifying the sources of information, and acquiring the information when assigned research tasks Knowledge in offline and online marketing Proficiency in Microsoft Office and cloud based word processing applications.
Class Level:	All levels
Major:	Computer science, computer engineering, and applied math
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Nikolaos Karathanasopoulos
Additive manufacturing and modeling of architected materials and structures through 3D-printing and hybrid casting methods. The tasks include: computer aided design and specimen preparation, specimen post-processing, quality assessment (defect identification) and mechanical testing, as well as data-analysis and modeling.
Skills the Student Will Gain:
The student will become acquainted with fundamental computer aided design methodologies for the creation and analysis of advanced materials and structures. The student will gain experience in the use of different 3D-printing machines, learn ways to post-process the samples (using methods such as Computer-Tomography scanning or Scanning Electron Microscopy) and assess their quality. Experimental tasks will be complemented by numerical modeling tasks, either at the process level or in the prediction and explanation of the observed mechanical performance (Machine learning and Explainability)
Skills Needed:
Engineering interest, fundamental computer knowledge Desirable: Data analysis skills, Python and Keras knowledge
Class Level:	Sophomore
Major:	Engineer
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering, Center for Cyber Security
Faculty Supervisor's Name:	Michail Maniatakos
Assist in cybersecurity and privacy research. Potential topics include: 1) Acceleration of privacy-preserving computation 2) Industrial control systems security, and 3) Machine learning security. See information about the three topics.
Skills the Student Will Gain:
Exposure to state-of-the-art cybersecurity research
Skills Needed:
Good programming skills
Class Level:	Junior, senior
Major:	Computer engineering, electrical engineering, computer science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Khalil Ramadi
Conduct research related to Neuroengineering. Our lab uses mechanical, electrical, and chemical techniques to attempt to interface with the brain and peripheral nervous system in a minimally invasive way. These technologies could potentially lead to therapies of neurological, metabolic, and gastrointestinal disorders. Responsibilities will include literature review, preparation, and characterization of nanomaterials, device design and fabrication, presenting data/results in the weekly group meetings.
Skills the Student Will Gain:
Students will learn about the entire pipeline of translational medicine projects, from device/material design and fabrication through to in vitro or in vivo testing in disease models. Students interested in applying engineering tools to solve clinical problems will benefit from this experience.
Skills Needed:
No experience is required. Training will be provided in all areas. Familiarity with CAD, electrical circuits, manufacturing, or chemical synthesis would be beneficial, although not essential.
Class Level:	Sophomore or junior
Major:	Mechanical, electrical, chemical, biomedical engineering
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Vijayavenkataraman Sanjairaj
3D Printing and Bioprinting is increasingly being considered as an ideal tool for engineered tissues and organs. Students can choose to work on one of the focus areas (i) New bioink isolation and formulation from plant / animal sources (ii) Bioink optimization and bioprinting (iii) bioprinting of specific tissue structures such as bone, nerve, or skin and (iv) Computational studies on various tissue engineering scaffold designs and computational bioprinting.
Skills the Student Will Gain:
Students will gain a deeper understanding on 3D printing and bioprinting. Depending on the focus areas, technical hands on skills such as biomaterial extraction, bioink formulation, bioprinting, cell culture techniques, and computational Skills such as CAD, FEM, CFD — a wealth of discussions on the progress of bioprinting during the group meetings and potential involvement with other researchers in the lab.
Skills Needed:
For Bioprinting projects, no prior experience is required. For Computational projects, prefer candidates with a knowledge of 3D modeling software such as AutoCAD and SolidWorks, CFD software such as COMSOL, Abaqus or ANSYS.
Class Level:	All levels
Major:	Mechanical engineering, bioengineering
Other Requirements:	A lot of passion for research and learning a must!

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Muhammad Shafique
The Research Assistant will work closely with the Professor and other senior researcher of my lab to develop performance and energy-efficient embedded machine learning systems (e.g., TinyML, and EdgeAI use cases). The goal will be developing, testing and validating an automated framework that can optimize a given machine learning model for an embedded computing platform. The developed techniques will be deployed in autonomous systems like UAVs and autonomous vehicles under energy-constrained scenarios, and scientific experiments will be performed to benchmark performance and energy efficiency against the state-of-the-art. Expected outcome will be a running prototype and a scientific publication in a top-tier conference and/or journal. Note: This project can be partitioned into multiple sub-project that can be given to different students, if multiple candidates apply, and based on their interests, i.e., whether they would like to do more hardware- or software-related work.
Skills the Student Will Gain:
Advanced ML/AI techniques, optimization for autonomous systems like mobile robots, development for embedded computing platforms, practical expertise in Python programming, profiling, benchmarking, scientific writing and presentation.
Skills Needed:
Good Programming Knowledge (preferably in Python; otherwise at least C++ and Python can be learnt on the fly by putting an extra effort), knowledge of basic machine learning algorithms is important, (preferably) ML development frameworks like Pytorch and GPU programming, otherwise will be learnt quickly in the first two weeks
Class Level:	All levels
Major:	Computer Science, Computer Engineering, Electrical Engineering, Applied Math,
Other Requirements:	If multiple candidates are interested in this project, we can partition the work into different sub-topics based on the expertise of the candidates.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	CITIES and CCS
Faculty Supervisor's Name:	Muhammad Shafique
Developing Machine Learning Security Attacks and Defenses for Connected Autonomous Vehicles: The Research Assistant will work closely with the Professor and other senior researcher of my lab to develop different types of security attacks and defenses in connected autonomous vehicles in the smart cities settings. First task will be Implementing backdoor attacks and defenses for autonomous vehicles and evaluate them in the CARLA full-system simulator demonstrating a smart mobility use case, where a complete environmental model is available. The work would analyze the pros and cons of existing defense mechanisms, their robustness in full-system setting, and potentially devise a more powerful defense considering the ADAS stack. The second task will be evaluating the robustness of traffic sign recognition and/or object detection DNNs against adversarial attacks, while considering the complete pipeline including traffic sign detection and other preprocessing stages, in CARLA simulator. Expected outcome will be a demo in CARLA, library of attacks and defenses, and scientific publications in a top-tier conference and/or journal Note: This project can be partitioned into multiple sub-project that can be given to different students, if multiple candidates apply, and based on their interests, i.e., whether they would like to do more training-time or inference-time attacks.
Skills the Student Will Gain:
Advanced ML/AI security techniques, autonomous vehicle simulation frameworks like CARLA, practical expertise in Python programming, profiling, benchmarking, scientific writing and presentation. Opportunities for students to gain experience in a world-leading lab, and gaining knowledge on advanced embedded machine learning/AI, EdgeAI, tinyML, smart cyber physical systems like mobile robots (e.g., rovers)
Skills Needed:
Good Programming Knowledge (preferably in Python; otherwise at least C++ and Python can be learnt on the fly by putting an extra effort), knowledge of basic machine learning algorithms is important, (preferably) ML development frameworks like Pytorch and GPU programming, otherwise will be learnt quickly in the first two weeks
Class Level:	All levels
Major:	Computer Science, Computer Engineering, Electrical Engineering, Applied Math,
Other Requirements:	If multiple candidates are interested in this project, we can partition the work into different sub-topics based on the expertise of the candidates.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering, Sand Hazards and Opportunities for Resilience, Energy, and Sustainability (SHORES)
Potential Faculty Supervisor:	Tarek Abdoun, Program Head of Civil and Urban Engineering; Professor of Civil and Urban Engineering Kemal Celik, Assistant Professor, NYUAD Civil and Urban Engineering Program Mostafa Mobasher, Assistant Professor, NYUAD Civil and Urban Engineering Program Borja Garcia de Soto, Assistant Professor, NYUAD Civil and Urban Engineering Magued Iskander, Professor, Department Chair, NYU Tandon School of Engineering
The student intern will have the possibility of working on a variety of research projects including but not limited to: 1- Experimental testing of structural and geotechnical systems 2- Development of advanced engineering materials 3- Development of robotics and smart systems for construction 4- Experimental and numerical modeling of geomaterials for energy applications 5- Development and testing of machine learning tools for resilience, construction, material modeling, and energy applications The student research assistant's duties may include tasks across the spectrum of activities involved in the above research projects
Skills the Student Will Gain:
Students will have a unique experience of working closely with an interdisciplinary group of researchers on projects that have tangible practical impact. Students will get experience with detailed research tasks as well as training on research documentation and presentation.
Skills Needed:
The skills required will depend on the specific project. However, some general skills are pertinent to this research: 1- experimental testing of materials and mechanical systems 2- code development, especially machine learning 3- experience with programming and developing robots
Class Level:	Sophomore, junior, senior
Major:	Civil, mechanical, and chemical engineering
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Engineering
Faculty Supervisor's Name:	Rafael Song
The duties involve designing and building microfluidic devices for growing spheroids and organoids to study human diseases in vitro.
Skills the Student Will Gain:
The student will acquire cell handling and culturing skills as well as various imaging skills.
Skills Needed:
Some experience in cell culture, CAD design, and 3D printing would be good.
Class Level:	Sophomore or junior
Major:	All majors of engineering or biology
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Interdisciplinary
Faculty Supervisor's Name:	Jeremy Teo
Perform research pertaining to the field of immunomechanobiology focusing on either of the following sub-topics (i) 3D hydrogel biomaterial for immunomodulation (ii) space immunobiology, (iii) tissue engineering of immune systems, (iv) mechanisms of immunomechanobiology.
Skills the Student Will Gain:
Skills will depend on the subtopic focus, however, students will generally be trained in hydrogel biomaterial preparation, gain skillsets in basic immunology, acquire microscopy know-how: from practical image acquisition to image-based quantitative biology, and data analyses.
Skills Needed:
1. Willingness to be cross trained in various fields engineering to biology. 2. Prior experience in wetlab environment and/or matlab and/or mechanical design will be an added advantage.
Class Level:	Junior or senior
Major:	Biomedical, bioengineering, mechanical, biology
Other Requirements:	Able to cope in a fast-paced research environment, have the do-what-it-takes attitude, and detail-oriented.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Center for AI and Robotics
Faculty Supervisor's Name:	Antonios Tzes
Simulate hybrid drone/vessel
Skills the Student Will Gain:
Learn simulation in a Physics Engine
Skills Needed:
Ubuntu
Class Level:	Feedback Control (Senior Level)
Major:	Electrical and Computer Engineering
Other Requirements:	C or C++ knowledge

Science Positions

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Mohamad Ali-Dib

Skills the Student Will Gain:
Applying machine learning and numerical computing tools in planetary sciences and astrophysics.
Skills Needed:
Python programing language is a must, some understanding of what is machine learning.
Class Level:	Sophmore, junior, senior
Major:	Physics or computer science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Tynchtyk Amatov
Contribute to ongoing projects and perform urgent experiments needed for the completion of advanced projects.
Skills the Student Will Gain:
Organic synthesis techniques such as working under inert conditions, analysis of structures of organic molecules, method development, mechanistic studies, stereoselective synthesis.
Skills Needed:
Minimum level of chemistry exposure: Organic Chemistry I and/or II courses
Class Level:	Any
Major:	Chemistry
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Francesco Arneodo
Participation in hardware activities in the laboratory, concerning experiments with cryogenic detectors, gamma ray spectroscopy, x-ray fluorescence.
Skills the Student Will Gain:
The student will learn how to operate in a particle physics laboratory.
Skills Needed:
Ability and desire to do hands on work, and to operate in a team.
Class Level:	Junior, senior
Major:	Engineering or science (but others may be considered)
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	John Burt
Helping with lab performing experiments (protein/pigment extraction, and analyses) with the use of the proper instrument and machines (spectrophotometer and fluorescence microscope)
Skills the Student Will Gain:
Being able to perform a physiological experiment in the lab from the extraction part to the analyses of the results and the physiological interpretation of it considering the literature.
Skills Needed:
Previous experience in the lab- knowing how to work safely in the lab (knowing the proper dress code to protect themselves and others) - knowing how to handle the basic lab instruments (pipette, Eppendorf, and glassware)
Class Level:	Any
Major:	biology, marine biology, zoology, ecology
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	John Burt
Coral Nursery Maintenance: - Assist in the maintenance and cultivation of coral fragments in an on-land coral nursery, following established protocols and procedures. - Monitor environmental conditions such as temperature, salinity, and water quality parameters to ensure optimal conditions for coral growth. - Perform regular checks on coral health, identifying and addressing any signs of stress, disease, or damage. -Assist in the cleaning and maintenance of nursery tanks, equipment, and infrastructure to ensure a clean and hygienic environment for coral cultivation. Data Analysis: - Assist in the collection, organization, and analysis of data generated from experiments on coral fragments - Collaborate with lab members to interpret and discuss data analysis results, contributing to the overall understanding of experimental outcomes. Heat Stress Experiments: - Provide basic support during thermal experiments on corals. - Assist in the setup and execution of heat stress experiments on corals, including exposure to elevated temperatures and monitoring physiological responses. - Follow experimental protocols and safety procedures to ensure accurate and reproducible results, while minimizing risks to coral health and safety. - Document experimental procedures, observations, and results in laboratory notebooks and electronic databases for record-keeping and future reference. Communication and Collaboration: - Communicate effectively with lab members and supervisors to coordinate tasks, share updates, and seek guidance or assistance as needed. - Collaborate with other members of the research team to contribute to experimental design, data interpretation, and manuscript preparation. - Participate in regular lab meetings, seminars, and discussions to exchange ideas, share progress, and receive feedback on research projects.
Skills the Student Will Gain:
• Laboratory Techniques: Hands-on experience with laboratory equipment and techniques, such as pipetting, measuring, and sterilizing, would enhance students' proficiency in basic laboratory skills. • Research Methods: Students would gain exposure to scientific research methods and protocols, including experimental design, data collection, and analysis. • Problem-Solving: Working on experimental procedures and troubleshooting issues that arise during experiments would develop students' problem-solving skills and ability to think critically in a laboratory setting. • Time Management: Balancing multiple responsibilities, such as caring for coral fragments, conducting experiments, and analyzing data, would enhance students' time management skills and ability to prioritize tasks effectively. • Communication: Communicating with lab members, documenting experimental procedures and results, and presenting findings to supervisors or collaborators would improve students' verbal and written communication skills, essential for effectively communicating scientific research. • Biological Knowledge: Engaging in coral cultivation and experiments would deepen students' understanding of marine biology and ecological concepts, providing them with valuable biological knowledge applicable to various fields of study. • Collaboration: Working as part of a research team would foster students' ability to collaborate with others, share ideas, and contribute to collective goals, preparing them for teamwork in future academic and professional endeavors.
Skills Needed:
- Attention to detail: Ability to meticulously follow protocols and procedures and record and collate data - Time Management - Biological knowledge: A basic understanding of biology, ideally marine biology. - Passion for the environment and climate change impacts on ecosystems Preferred experience: Dive certification, fieldwork experience
Class Level:	Any
Major:	Biology, ecology, zoology, genetics
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Djellel Difallah
The student will help with data scrapping from Web resources, learn how to use and discover API from Open Data repositories. Build simple machine learning models to extract information from semistructured data (particularly from Wikipedia and Wikidata), and insert it into a database.
Skills the Student Will Gain:
Python Development Machine Learning Basics Web Scrapping Database development Open Data Graph-based databases SPARQL language API development Applied Data Science
Skills Needed:
Python and Web Scrapping
Class Level:	Junior or Senior
Major:	Computer Science / Data Science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Tej-eddine Ghoul
Tasks given to the apprentice: The apprentice will help to conduct fluid dynamics experiments within the Research Center: - Post-processing for experimental data about two-dimensional Couette flow - Run an existing experimental rig to study rotational Rayleigh-Taylor instability of two fluids (air/water) - Design and build an experimental rig for bubbles air/water interactions
Skills the Student Will Gain:
This training aims to introduce the apprentice to the fundamentals of experimental fluid dynamics, a pivotal aspect of modern engineering and scientific research. They will engage with hands-on experiments and simulations (if possible) that illustrate fluid behavior and measurement techniques. The aim is to equip the apprentice with a solid understanding of how to design, build, and analyze fluid dynamics experiments. This experimental aspect will be crucial for their future academic and professional career in fields such as aerospace, mechanical engineering, and environmental science.
Skills Needed:
Mathematics and Physics
Class Level:	Junior
Major:	Physics
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Youssef Idaghdour
The student will participate in managing and analyzing large human genetic datasets.
Skills the Student Will Gain:
The student will learn how to handle large genomic datasets and how to use bioinformatic and human population genetic tools.
Skills Needed:
Basic knowledge of genetics and HPC environment
Class Level:	Junior
Major:	Biology / computer science
Other Requirements:	The position suits better students interested in data analysis but it offers also the possibility of participating in genetic laboratory experiments.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Aashish Jha
The successful applicant will assist in the wet lab and/or bioinformatics analyses, depending on the student's interest. For those inclined towards bench work, the primary responsibility will be to optimize protocols in collecting, processing, and extracting DNA from diverse types of biological samples (feces, saliva, fermented foods). Students seeking analytical experience will be trained to analyze Next Generation Sequencing data using various types of statistical approaches in R-programming language. The successful candidate will work in a collaborative and multidisciplinary environment consisting of PhD-level scientists as well as undergraduate students. Applicants must have a strong interest in genomics. Previous experience in DNA extractions and laboratory etiquette desired. For those interested in bioinformatics analyses, basic knowledge of a programming language and experience in working in Linux environment is preferred.
Skills the Student Will Gain:
Experimental research, study design, data analysis, critical thinking
Skills Needed:
Pipetting (needed), DNA extractions (preferred), data analysis (preferred)
Class Level:	Any
Major:	Biology, Computer Science, Anthropology
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Serdal Kirmizialtin
Conduct computational research to study RNA structural dynamics and/or DNA condensation.
Skills the Student Will Gain:
i) Learn to model problems related to biophysics and/or material science using computer simulations. ii) Learn to do scripting, Linux, using High Performance computing. iii) Learn Machine Learning methods used in Natural Science.
Skills Needed:
General knowledge of chemistry or biology
Class Level:	Sophomore, junior, senior
Major:	Science or engineering
Other Requirements:	Interest in interdisciplinary sciences, willing to learn basic Python and Linux.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Nader Masmoudi
Vortex shedding occurs when fluid flows past an obstacle, creating alternating vortices in its wake. Our project aims to develop mathematical models that accurately describe this complex flow behavior, incorporating principles of fluid dynamics, mathematical analysis, computational methods, and experimental work. By studying the dynamics of vortex shedding, we seek to deepen our understanding of fluid flow phenomena and their practical applications in engineering and physics. The research assistant will work on the mathematical modeling of the phenomenon of vortex shedding from different aspect: analytical analysis, computational, and experimental investigations.
Skills the Student Will Gain:
Through this project, students will gain valuable insights into the process of mathematical modeling of a physical phenomenon, using fluid mechanics experiments, and computational tools.
Skills Needed:
Fluid mechanics, Partial Differential Equations, some programming skills are preferred
Class Level:	Junior, senior
Major:	Mathematics, mechanical engineering, or physics
Other Requirements:	This is mathematical subject with a multidisciplinary approach and applications.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Nader Masmoudi
Studying the effect of surface roughness on the laminar-to-turbulent transition of boundary layers is a challenging subject. When fluid flows over a rough surface, the presence of irregularities can perturb the flow and alter its behavior, leading to changes in boundary layer characteristics. Understanding how surface roughness influences the transition from laminar to turbulent flow is crucial for predicting aerodynamic drag, heat transfer, and other flow phenomena in engineering systems. This research involves investigating the interaction between the flow and surface roughness elements and identifying the mechanisms that trigger the transition to turbulence. The student will be involved with the experimental studies, numerical simulations, and theoretical analyses of this study.
Skills the Student Will Gain:
Through this project, students will gain valuable insights into the process of mathematical modeling of a physical phenomenon, using fluid mechanics experiments, and computational tools.
Skills Needed:
Fluid mechanics, Partial Differential Equations, some programming skills are preferred
Class Level:	Junior, senior
Major:	Mathematics, mechanical engineering, or physics
Other Requirements:	This is mathematical subject with a multidisciplinary approach and applications

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	David Melcher
Attending lab meetings, assisting in the recruitment of participants, and helping in running experiments. Any other data collection and analysis methods are needed in line with the technical expertise and potential of the research assistant.
Skills the Student Will Gain:
Increased understanding of how research is conducted in psychology and cognitive neuroscience; experience working in a research group context; experience in scientific communication.
Skills Needed:
Strong interest and some background in Experimental Psychology, such as in Cognition, Cognitive Neuroscience, or similar. Good computational or programming skills are a plus.
Class Level:	Sophomore, Junior
Major:	Psychology, Biology, and other sciences
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	David Melcher
The research assistant will take part in lab activities, which may include literature search, stimulus preparation, assisting in recruiting participants, assisting in collecting data, and other tasks depending on the student's skills and experience
Skills the Student Will Gain:
Students gain first hand research experience and will learn and practice the skills that are within their grasp
Skills Needed:
Knowledge of experimental psychology and/or cognitive neuroscience is required; coding skills or graphic arts skills are highly valued.
Class Level:	Any
Major:	Psychology
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Sarah Nadi
Helping developers use library APIs - assist in developing experiment pipelines. Pipelines could include the use of Large Language Models - assist in collecting and curating data through mining software repositories
Skills the Student Will Gain:
Version control systems, mining software repositories, experimentation using LLMs
Skills Needed:
git, build systems, Java and/or Python. Preferred: continuous integration, testing, used LLMs
Class Level:	Junior, senior
Major:	Computer Science
Other Requirements:	Please check research projects and publications at https://sarahnadi.org to familiarize yourself with the kind of work my group does.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Panche Naumov
The student will work closely with some of the senior members of the Naumov's Smart Materials Lab (SML) to prepare, characterize and implement new smart materials for applications to organic electronics and soft robotics. The student will be trained on some of the most common equipment for materials characterization of the optical, mechanical and electrical properties of materials. The student will perform literature search, data collection and processing, interpretation of the results, and preparing of the results for publication. The student will be asked to participate in the SML's weekly group meetings and to present at least two articles from the literature, in addition to their own research results.
Skills the Student Will Gain:
Technical skills related to materials characterization, methods for literature search, presentation skills, various software for processing of primary experimental data
Skills Needed:
Basic laboratory skills for work in a chemistry or analytical laboratory. Prior research skills are not required, although they are valuable for a quick start
Class Level:	Sophomore, Junior, Senior
Major:	Chemistry, Physics, Computer Science or Engineering
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science/Interdisciplinary
Faculty Supervisor's Name:	Bakiza Noutsi
Research assistantship duties and responsibilities typically include assisting with collecting and analyzing data, and maintaining accurate records of experiments and findings. Research assistants may also be responsible for conducting literature reviews, preparing reports, and presenting results to the research team. Additionally, they often support the principal investigator (PI) by managing project timelines and ensuring compliance with ethical guidelines and protocols. Strong organizational, analytical, and communication skills are essential for success in this role, as well as the ability to work collaboratively within a diverse team. Assisting in training new team members or undergraduate students in research techniques and best practices.
Skills the Student Will Gain:
From this research assistantship experience, students will gain a range of valuable skills that are essential for their academic and professional development. They will enhance their analytical skills through data collection and analysis, learning how to interpret findings and draw meaningful conclusions. Students will learn state-of-the-art multidisciplinary techniques. The experience will improve their technical proficiency in research methodologies and laboratory techniques relevant to multidisciplinary science. Additionally, students will develop strong communication skills by presenting their research, collaborating with team members, and writing reports. Time management and organizational skills will be honed as they balance multiple tasks and meet project deadlines. Furthermore, working in a research environment will foster critical thinking and problem-solving abilities, preparing students for future challenges in their careers or further studies. Overall, this hands-on experience will provide a solid foundation for their academic and professional journeys.
Skills Needed:
Candidates should possess excellent communication abilities to convey information clearly and effectively. Strong learning ability to acquire analytical skills are essential for problem-solving and critical thinking, allowing individuals to assess situations and make informed decisions. Comprehensive training on relevant softwares will be provided. Acquiring proficiency in relevant software, tools and experiments will be necessary for efficient task execution. Additionally, the ability to work collaboratively within a team and adapt to changing environments is crucial. Experience in project management and a proactive approach to tasks will also contribute significantly to success in this role. Overall, a combination of technical expertise and interpersonal skills will be key to thriving in this position.
Class Level:	Any
Major:	Biology, Biophysics, Biomedical engineer and Chemistry
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Arabian Center for Climate and Environmental Sciences (ACCESS)
Faculty Supervisor's Name:	Francesco Paparella
During the Summer of 2022, ACCESS has prototyped an IoT (internet of things) network of sensor devices for environmental monitoring at the city scale. The research assistant will be integrated into this team, and assist in expanding the network capabilities. Depending on her/his skills and personal preferences the activities may be one of the following: calibrating off-the-shelf sensors against professional meteorological instruments; integrate additional sensors in the existing IoT hardware and/or software infrastructure; programming a web application for presenting the data in a graphical way.
Skills the Student Will Gain:
The student will cooperate with an existing research team and will gain hands-on experience on designing, deploying, validating an IoT sensor network for environmental monitoring. The student will gain practical knowledge on the topics of client-server programming, data analysis, data storage and data presentation.
Skills Needed:
Candidates must have a provable knowledge of the Python programming language. Experience with client-server programming and with web application programming (Flask, MongoDB) is particularly desirable. Previous laboratory experience working with sensors and/or with single board computers (Raspberry PI); basic knowledge of environmental physics; previous experiences in data analysis are valuable, albeit not strictly necessary.
Class Level:	All Levels
Major:	Physics, computer science, engineering, applied mathematics.
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science / Interdisciplinary
Faculty Supervisor's Name:	Hanan Salam
The research assistant will work in the Social Machines and Robotics Lab in the area of affective computing for enabling the development of social intelligence capabilities in robots. Duties and responsibilities: - Design and implementation of deep learning architectures for multimodal affect recognition. - Experimentation and validation of the implemented approaches on different datasets. - Comparison with state of the art models.
Skills the Student Will Gain:
Machine Learning application; running and managing experiments using GPUs; data pre-processing and preparation for machine learning models; processing and fusion of multi-modal data
Skills Needed:
- Proficient Python programming experience; Familiarity and previous experience with Machine Learning;
Class Level:	Senior
Major:	Computer Science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science / Interdisciplinary
Faculty Supervisor's Name:	Hisham Sati
Project approach to quantum computing languages in collaboration and coordination with mentors and other students. Implementing and simulating topological quantum gates, verification and certification of the simulations, building a reliable software library, and then combining ingredients from such a library to construct simulations of the desirable quantum programs. Participation in the activities of the center, including workshops, training sessions, seminars, conferences, hackathons, meetings, and interaction with visitors.
Skills the Student Will Gain:
There has been a lot of exciting research on quantum computing, both at the hardware and the software levels, with the latter leading to various quantum computing languages. One drawback to these is the fact that the hardware part of the development is still lagging behind, leading to the need and prominence for quantum simulators. It would hence be interesting and desirable to come up with an approach to quantum computing languages that simulate quantum processes not on a pertinent quantum computer but on a classical one. At the same time, it would be important for such an approach to be fundamental and aware of the quantum material underlying the expected hardware, leading to languages that are implementable and realistic. A promising such approach is through topological quantum computing, which is robust against nose, errors, and perturbations, leading to reliable and scalable hardware, and hence practically useful and implementable software. The development of this approach is at the heart of the research at the Center for Quantum and Topological Systems (CQTS).
Skills Needed:
This opportunity is open to students from computer science, computer and electrical engineering, mathematics, and physics
Class Level:	Any
Major:	Varies, including computer science, computer and electrical engineering, mathematics, and physics
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Kartik Sreenivasan
Among other administrative responsibilities, student assistants are responsible for recruiting and communicating with participants, collecting and analyzing data, carrying out literature searches, and helping with the design and coding up of experimental tasks.
Skills the Student Will Gain:
- Practical, analytical, and organizational skills needed for conducting research - Knowledge of existing literature - Hands-on research experience - Better understanding of workplace culture
Skills Needed:
- Can manage time efficiently and meet deadlines - Can work independently with little supervision - Punctual and well-organized - Detail-oriented - Conscientious - Willing to learn new information and adapt quickly - Preferred but not required: has prior MATLAB/coding experience
Class Level:	All Levels
Major:	Psychology, Biology, Computer Science, Engineering, Math
Other Requirements:	Applicant should be a full-time student in good academic standing, studying on the NYUAD campus, and hold a 3.0 GPA or up

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Antje von Suchodoletz
The student will be working on a project focusing on investigating young children's digital media use. Beyond just screen time, the project explores children's interactions with digital media: - At what age do young children start using digital technologies? - What are they using a digital device for? - Do they engage with digital technologies alone or with a caregiver? - What apps are available to support children’s cognitive development and learning, and what is their quality? The student will have the following responsibilities: - Assistance with the data collection (child user and parent-child interaction observations) - Data entry, cleaning and coding - Creating tables and figures for descriptive results - Literature search Brief Project Description Technology plays an increasingly vital role in the lives of both children and adults, with today’s children entering the digital space at younger ages than previous generations. Despite digital proliferation and concerns regarding potential negative impacts of excessive screen time on child development, there is a noticeable lack of research focused on wellbeing effects of technology use and the digital habits of young children in conjunction with their parents and caregivers, particularly in the UAE. Current discourse primarily revolves around “screen time” — how long children should engage with digital devices. However, understanding the overall impact of technology on young children necessitates an exploration of the quality and nature of their interactions with these devices. This research project strives to: (1) assess the current landscape of digital technology use among children 0-8 years old through a literature review and comparison of international media guidelines, (2) investigate empirically the effects of digital media use through assessing caregivers and young children in the Emirate of Abu Dhabi, and (3) develop a rating system based on theory and empirical findings for digital interventions tailored to early childhood.
Skills the Student Will Gain:
- Expertise in data collection with children and parents in lab- and field settings - Standardized procedures for coding interview, behavior and/or physiological data - Expertise in the use of MAXQDA and/or Mangold Interact, commonly used software in the social sciences - Basic statistical analysis
Skills Needed:
- Attention to detail - Great time and task management skills - Knowledge about and commitment to research ethics - Must be able to follow standardized procedures- Ability to work well in teams
Class Level:	Sophomore, Junior, Senior
Major:	Psychology (preferred), Education, Human Development or related field
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Andrea Vial
Provide support on a variety of tasks related to psychological research on gender stereotyping and bias and their cascading effects. Tasks will include proofreading and bibliography work, library cleaning and maintenance, performing literature searches, programming Qualtrics surveys, developing training materials, summarizing research articles, gathering data from open sources, and other miscellaneous administrative and research tasks. Depending on the needs of the lab, research assistants will also have the opportunity to conduct in-person experimental sessions with adult participants.
Skills the Student Will Gain:
Students will learn how a social psychology research laboratory operates. In addition to learning about the topics that are the focus of our lab (psychological research on gender stereotyping and bias and their cascading effects), students can expect to learn how to conduct systematic, annotated literature reviews, how to program complex surveys and experiments on Qualtrics, and how to manage and clean data. More advanced students may also be given the opportunity to analyze data and represent it visually. Students may also gain experience conducting in-person experimental sessions with adult participants.
Skills Needed:
• Excellent communication skills, both written and oral • An interest in the psychology of gender segregation • Past coursework on research methods is a definite plus
Class Level:	Sophomore, junior, senior
Major:	Psychology
Other Requirements:	Preferred background and qualifications: • Past work experience in a research environment, • Past involvement with psychological research, • Academic exposure to social psychology (i.e., courses in social psychology, stereotyping and prejudice, gender, sexuality, etc.). • Knowledge of MS Excel, • Knowledge of SPSS, R, or Stata for data analysis

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Dan Ohtan Wang
RNA regulation in CA1 place cells for cognitive map formation Assisting researchers to conduct neuronal activity imaging, mice colony management, biochemical experiments, and data analysis
Skills the Student Will Gain:
Neural activity recording, data analysis and interpretation, critical thinking, communication
Skills Needed:
Molecular and cellular neuroscience
Class Level:	Junior, senior
Major:	Biology
Other Requirements:	If interested, contact as early as possible to get safety training and animal protocol approval before the student arrives.

Social Science Positions

Introduction
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Amar Ahmad
Future Enhancing Epidemiological Insights Through Statistical Machine Learning: Applications in the UAE Healthy Future Study The UAE Healthy Future Study (UAEHFS) is a prospective cohort study designed to identify associations between risk factors and disease outcomes amongst Emiratis. The study will enroll 20000 UAE nationals, aged ≥18 years. Environmental and genetic risk factors will be characterized and participants will be followed for future disease events. This was the first time a prospective cohort study was being planned in the UAE. Statistical data science is becoming a central part of modern data analysis, transforming information intelligence to make decisions and solve challenging problems. The research assistantships will apply statistical data science methods and approaches to make decisions and solve challenging problems based on data and issues sourced from the UAEHFS.
Research Assistantship duties and responsibilities:
Analysis and visualization of complex datasets • Preparation of the relevant data. • Selection, optimization, and evaluation of ML models, such as binary classification, multiclass classification, and regression. • Implementation of models • Support with other activities, e.g. research and preparation of presentations.
Skills the Student Will Gain:
The internship offers research assistantships a forum for interdisciplinary cooperation, with opportunities to • Comprehensive statistical data science advice on more complex applied issues • Expansion to research collaborations, bachelor, master, and PhD theses • Professional preparation by learning presentation techniques, programming skills, practical statistical data science, interdisciplinary communication.
Skills Needed:
This research assistantship is aimed at students who are familiar with a statistical programming language (ideally R) and have a linear algebra background (vectors and matrices: transpose, inverse, and determinants quadratic forms) as well as probability theory (discrete and continuous univariate random variables, expectation, variance, and normal distribution).
Class Level:	Junior, Senior
Major:	Data Analysis, Statistical Programming, Statistical Data Science, Statistical Modelling, Data Mining
Other Requirements:	You would like to constantly develop yourself, learn and apply new methods and technologies.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Laure Assaf
Spaces of Knowledge Production in the Gulf The research assistant will help conduct an ethnographic study of diverse spaces of knowledge production in the UAE, beyond academia — including artistic and diasporic spaces.
Skills the Student Will Gain:
The student will assist in qualitative data collection (ethnography and interviews), transcription, and analysis.
Skills Needed:
Prior experience with ethnographic research is desirable, but not mandatory; the mastery of one of the languages spoken in the Gulf beside English (Arabic, Hindi, Tagalog, Malayalam, etc.) would be ideal.
Class Level:	Junior, senior
Major:	Humanities or social science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Joan Barceló
The student will engage in research on the consequences of wartime exposure on social, economic, and political attitudes and behaviors. The duties associated with this position are: - Identifying relevant literature - Searching for recent papers - Data management/curation - Data analysis under the supervision of the Professor
Skills the Student Will Gain:
- Learn about the literature on the social, economic, and political consequences of political violence - Writing skills - Data management skills - Engagement in a data project
Skills Needed:
Some experience with Stata/R is desired
Class Level:	All levels
Major:	Political science, economics
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Interdisciplinary
Faculty Supervisor's Name:	Muhammet Bas
Statistical and mathematical analysis of interstate relationships (cooperation and conflict); reviewing relevant literature; writing summaries/memos
Skills the Student Will Gain:
Improve their analytical skills, gain academic writing experience, exposure to international relations literature.
Skills Needed:
Recommended prior coursework in statistics, calculus, game theory, or similar topics
Class Level:	All classes welcome, but juniors and seniors preferred
Major:	Political science, economics, mathematics
Other Requirements:

Introduction
Division, Research Center, Lab:	Science
Faculty Supervisor's Name:	Omer Faruk Orsun
Leader Competence in International Relations: Voter Attribution of Foreign Policy Outcomes
Research Assistantship duties and responsibilities:
- Assist in literature review on voter attribution, foreign policy outcomes, and leader competence - Help design and implement survey experiments - Collect and analyze data from survey responses - Assist in coding White House press briefings - Support in developing statistical models to test hypotheses - Contribute to the preparation of research papers and presentations
Skills the Student Will Gain:
The student will gain an advanced understanding of research methodologies in political science, along with hands-on experience in designing and implementing survey experiments. They will develop data analysis and statistical modeling skills, as well as proficiency in coding qualitative data. The position will enhance their academic writing and presentation skills. Additionally, the student will acquire in-depth knowledge of international relations theories and voter behavior.
Skills Needed:
Background in political science, international relations, or related fields, High course grade in quantitative research methods and statistical analysis, Some exposure to or interest in survey design and implementation, Familiarity with R programming from coursework or personal projects, Ability to work both independently and as part of a team, Interest in voter behavior and foreign policy research.
Class Level:	Junior, Senior
Major:	Political Science, International Relations, or related social science majors
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	J. Andrew Harris
Research positions in the Professor Harris' research group are an opportunity to work on ongoing research projects and build practical skills. Each student works independently or in a team with another student on one project at a time, and attend weekly research group meetings. Currently, we are working on a number of projects on electoral access in Africa, participation in constitutional referenda in Kenya, the causes and consequences of ballot errors in Kenya, and gendered voting behavior in Pakistan. Project assignment will be done as a function of project needs, student skills, and student interests. Common tasks include writing computer code (R, Python) to clean, manage, analyze, and visualize data; conduct systematic literature reviews; copy edit existing text; and build online surveys.
Skills the Student Will Gain:
Use R or other languages to clean, build, and analyze datasets. Conduct systematic literature reviews. Copy edit article and book text. Learn about the process of producing social science research. Gain experience working in teams.
Skills Needed:
Experience or interest in social science research. Quantitative skills: R, Python, LaTeX, and similar. Ability to work independently and meet deadlines.
Class Level:	All levels
Major:	Any, though students in quantitative disciplines or with interest in data-science are particularly encouraged to apply.
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Interdisciplinary
Faculty Supervisor's Name:	Aaron Kaufman
The student will take an active, collaborative role in Professor Kaufman's computational social science research agenda, which applies cutting-edge tools from data science and machine learning to important and timely problems in political science. Depending on students' skills and interests, this might involve web scraping and big data collection; machine learning, natural language processing, and fine-tuning LLMs; social network analysis; interactive data visualization; or designing virtual reality environments.
Skills the Student Will Gain:
The student will take an active, collaborative role in Professor Kaufman's computational social science research agenda, which applies cutting-edge tools from data science and machine learning to important and timely problems in political science. Depending on students' skills and interests, this might involve web scraping and big data collection; machine learning and natural language processing; social network analysis; interactive data visualization; or designing virtual reality environments.
Skills Needed:

Class Level:	All levels
Major:	Computer Science, Data Science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Korhan Kocak
We require a research assistant who has some knowledge of Natural Language Processing and can help us troubleshoot our code. Additionally, the assistant will help to clean internet access data and get this ready for statistical analysis.
Skills the Student Will Gain:
Hands-on experience with text analysis using Twitter data
Skills Needed:
R or Python
Class Level:	Juniors or Seniors preferred
Major:	Computer Science majors preferred
Other Requirements:	Being able to read Spanish or Turkish would be advantageous but is not a requirement.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science, C-BID
Faculty Supervisor's Name:	Nikos Nikiforakis
- surveying and summarizing the literature on different projects related to the C-BID center - assist in preparing presentations/reports.
Skills the Student Will Gain:
Students will become familiar with concepts and methods in behavioral economics and institutional design, and will benefit from the interaction with faculty, postdocs, and researchers working in the center.
Skills Needed:
Some experience in research in the field of economics
Class Level:	Sophomore, Junior, and Senior
Major:	Economics
Other Requirements:	Applicants could work with any of the faculty and postdocs associated with the center directed by Professors Nikiforakis and Wooders.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Anju Mary Paul
This project studies the migration of non-native scientists to science hubs in the Middle East and Asia. Through an online survey and in-depth interviews with scientist migrants, this project unpacks the drivers behind these new skilled migration flows to rising science hubs in select Gulf countries (Saudi Arabia, Qatar, and the UAE) and Asia. The student Research Assistant will help code interviews for specific themes and conduct literature reviews on skilled migration and scientific development.
Skills the Student Will Gain:
Core research skills for qualitative social science
Skills Needed:
Some social science research methods training
Class Level:	Sophomore and above
Major:	Social Science major
Other Requirements:

Business and Economics Positions

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Andrzej Baranski
Experimental methods in the social sciences are now more popular than ever to study human behavior. We are currently looking to hire undergraduate research assistants interested in learning about experimental methods. The project in which RAs will be working is about bargaining and negotiations around the world. A growing literature has been documenting how cultural differences, gender, ideological postures, and cognitive abilities affect strategic behavior. However, quantifying and qualifying the role that such variables play in bargaining is largely unknown, and much work needs to be done, which is the scope of this project. Tasks include: 1. Reviewing academic literature and providing quantitative and qualitative summaries of findings on several topics including: Majoritarian Bargaining, cultural measures, gender differences, 2. Analyzing data (descriptive statistics and regression analyses) 3. Providing feedback on experimental materials and methods 4. Programming of experiments and surveys Preferred qualifications: 1. Knowledge of statistics and econometrics 2. Use of statistical analysis software (Stata, R) 3. Programming 4. Ability to read academic papers Students in the social sciences are particularly encouraged to apply.
Skills the Student Will Gain:
Students will learn about: (1) Experimental Methods Design and Analysis (2) Experimental evidence on Bargaining Behavior (3) The role of culture and gender in Economics. Students will develop the following skills (1) Learning how to read and analyze peer-reviewed journal articles (2) best practices in experimental economics (3) how to formulate a research question and a social experiment to answer it.
Skills Needed:
Knowledge of statistics, econometrics (basic). Previous courses in behavioral economics, experimental economics, or economic psychology are a plus.
Class Level:	Junior, senior
Major:	Economics, political science
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Christian Haefke
Support research by researching and summarizing literature, analyzing data
Skills the Student Will Gain:
Data cleaning, data analysis, literature research, summarizing research
Skills Needed:
Some computer programming, statistics
Class Level:	Sophomore or higher
Major:	Computer Science, Economics, Math, Statistics
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Sophia Jeong
Participate in business management research, with topics on processes leading to trust and cooperation in the workplace. Research topics include motivation, emotions, and diversity at the individual, group, and organizational levels of analysis. This position is an opportunity to get exposure to ongoing research projects. Common tasks include: • Survey design and management on Qualtrics and Prolific • Managing and streamlining participant payment processes • Data cleaning and management • Assistance with coding using SAS, R STATA, or SPSS • Manuscript formatting • Assistance with presentations • Academic bibliographical work, including literature searches, summarization, and review management
Skills the Student Will Gain:
Students will gain valuable experience with evidence-based management research, and practical skills involved in performing hypothesis testing and manuscript preparation. They will also become familiar with concepts and methods in business management and organizational behavior, and will benefit from the interaction with faculty and other collaborators.
Skills Needed:
Interested in the research topic(s); Attention to detail; Strong quantitative and programming skills (preferably SAS, R, or equivalent); Ability to work independently and proactively; Time management skills
Class Level:	Sophomore and above
Major:	Business or other Social Science Majors
Other Requirements:

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Jordan J. Norris
Assist with economics academic research. The topic of research is broadly in spatial economics, where we try to understand the role of space in economic outcomes. Topics include: Spatial inequality: how and why does economic prosperity vary across cities, regions, and countries? Spatial interdependence: how locations are interconnected by networks (e.g., supply chains, social networks) and what are the economic consequences of these (e.g., on economic growth, macroeconomic policies) Spatial policy: what is the best policy to influence economic outcomes, taking the above into account (e.g., promoting economic mobility; ensuring self-sustaining rather than transitory impacts) Regardless of the topic, the duties of the assistant will broadly be the same. The tasks will primarily be computational and be a subset of the following: 1. Data collection and cleaning. Collecting the data from the relevant sources (these will all be available online, either in public or academic databases) and cleaning the data. 2. Regression analysis. The specification (e.g., OLS, panel) will be given. Expect the assistant to take the initiative in exploring the results and in investigating robustness. 3. Quantitative analysis. Potentially apply economic models, for example using Monte Carlo simulations. 4. Documentation. Provide well-commented code, write up results in reports and create tables and figures communicating the findings. These must be sufficiently clear such that I or someone else can continue from where the assistant left off, if necessary. 5. Literature review. Review prior work to help inform directions we will take in the project Cleaning and regressions will be primarily conducted in Stata. Simulations will be primarily conducted in Matlab. Throughout, the assistant will be in direct contact with me. They will be provided with instructions for the tasks, guidance on how to complete them, and regular feedback. Outside of this, they will be expected to work mostly independently and be able to apply their own problem-solving ability to make progress on the tasks. As part of the duties, the assistant should 1. Communicate frequently with me by email and, as required, by Zoom. 2. Share with me a spreadsheet log of the hours spent on different tasks.
Skills the Student Will Gain:
Academic research experience in Economics. The student will experience firsthand how an academic research project develops, witnessing the thought process and important steps involved. The student will build on their own data analysis skills and ability to work independently. The student will receive direct mentorship from Professor Norris throughout. My hope is that an engaged and motivated student will meaningfully grow as an Economist.
Skills Needed:
Required: Proficiency in Stata. Recommended: proficiency in Matlab; understanding of Econometrics and basic Economic Theory.
Class Level:	Junior
Major:	Economics
Other Requirements:

Research Assistantship duties and responsibilities:
Research Center/ Lab:	Stern at NYUAD
Faculty Supervisor's Name:	Ezgi Ozgumus
This research assistantship role will work closely with Dr. Ezgi Ozgumus at Stern at NYUAD to assist with her research on gender diversity, equity and inclusion, and organizational behavior. This is an ideal role for students who are considering graduate level studies in organizational behavior and/or social psychology.
Skills the Student Will Gain:
Students can expect to learn the fundamental processes of conducting psychological research with online adult participants. Motivated students can gain expertise in data entry, cleaning, management and analysis as well as basic knowledge in statistical inference. In addition, students will learn how to conduct systematic literature reviews, how to read and summarize scholarly articles, how to program surveys in Qualtrics, and how to manage quantitative data.
Skills Needed:
Ideal student will possess an interest and curiosity in learning how to do research and understanding the role gender (and many other demographic characteristics such as race/ethnicity) plays in the workplace and broader society. Excellent communication skills (both oral and written), good command of English, and a professional attitude (e.g., being responsive to emails) is a must.
Class Level:	Junior or senior
Major:	Psychology, Business Administration, or any
Other Requirements:	Preferred background and qualifications: • Past work experience in a research environment, • Past involvement with psychological/micro-level research, • Academic exposure to social psychology and/or sociology related topics (i.e., courses in social psychology, diversity, gender, societal inequality etc.). • Knowledge of MS Word, Excel, SPSS, Stata or R for data analysis • Knowledge of Qualtrics for survey administration

Research Assistantship duties and responsibilities:
Research Center/ Lab:	N/A
Faculty Supervisor's Name:	Jeff Steiner
This position is to support the faculty with multiple projects pertaining to the study and practice of well-being at work, including a book project. The student will be particularly involved with conducting literature reviews - organizing and aggregating research across the field.
Skills the Student Will Gain:
Literature review skills; writing; critical thinking
Skills Needed:
N/A
Class Level:	Preference for seniors and juniors
Major:	Business and/or Psychology
Other Requirements:	The student should be prepared to read and write/summarize.

Research Assistantship duties and responsibilities:
Division, Research Center, Lab:	Social Science
Faculty Supervisor's Name:	Milena Tekeste
Literature review, data collection, data cleaning, data analysis
Skills the Student Will Gain:
Analytical skills, research skills, project coordination
Skills Needed:
N/A
Class Level:	Sophomore and above
Major:	Business, Organization and Society or Social Research and Public Policy
Other Requirements:

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Deadline: March 15, 2025, 5pm GST

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