New York University (NYU) is inviting applications for its Faculty Fellow Appointment in Data Science for Fall 2027 through the Center for Data Science (CDS). This prestigious academic opportunity is designed for interdisciplinary researchers working in artificial intelligence, machine learning, statistics, applied mathematics, and computational social sciences.
Based in New York City, the full-time, non-tenure-track appointment offers a fixed annual base salary of $101,766, competitive employee benefits, and research and travel funding. Faculty housing may also be available as part of the compensation package. The appointment lasts two years and is scheduled to begin on 1 September 2027.
The fellowship provides an opportunity for emerging scholars to lead original research, collaborate with researchers across disciplines, and teach students in one of the leading academic environments for data science and artificial intelligence.
NYU Data Science Faculty Fellow 2027: Opportunity Overview
- Position: Faculty Fellow Appointment in Data Science
- Institution: New York University
- Department: Center for Data Science, Courant Institute School of Mathematics, Computing, and Data Science
- Location: New York City, United States
- Employment type: Full-time, non-tenure-track
- Appointment duration: Two years
- Expected start date: 1 September 2027
- Annual base salary: $101,766
- Additional benefits: Competitive employee benefits, research and travel funding, and possible NYU faculty housing
- Application deadline: 24 November 2026
About the NYU Center for Data Science
The Center for Data Science at NYU was established in 2013 to advance interdisciplinary education and research in data science, machine learning, and artificial intelligence. In 2026, CDS became a department within the newly formed Courant Institute School of Mathematics, Computing, and Data Science.
The centre brings together researchers from multiple disciplines to develop computational methods and apply them to scientific, technological, and societal challenges. Its academic programmes include undergraduate and master’s-level data science education, a PhD programme, and research fellowships.
The Faculty Fellow programme supports researchers who can connect computational methods with domain-specific scientific questions. Fellows are encouraged to establish collaborations with faculty members across CDS and NYU while developing independent research agendas.
Research Areas
Applicants should have research interests aligned with one or more of the following areas:
Core Machine Learning and Artificial Intelligence Methods: Research advancing the design, development, evaluation, or application of machine learning and AI techniques.
Machine Learning Theory: Work addressing the mathematical and theoretical foundations of learning algorithms and computational models.
AI for Science: Research applying artificial intelligence and computational methods to scientific discovery and domain-specific research challenges.
Computational Social and Political Sciences: Research using computational approaches, statistical modelling, and data science to investigate social and political systems.
Responsible AI: Work focused on developing, evaluating, or understanding AI systems in ways that address reliability, accountability, and their broader effects on society.
Successful candidates are expected to demonstrate a research agenda that benefits from interdisciplinary collaboration and contributes meaningfully to one or more of these areas.
Responsibilities of the Faculty Fellow
The selected candidates will lead original research projects of their choosing, connecting computational methods with scientific or societal applications.
Key responsibilities include:
- Developing and conducting independent, high-quality research.
- Publishing research findings and contributing to the advancement of data science and artificial intelligence.
- Establishing collaborations with faculty members at CDS and other NYU departments.
- Teaching one CDS course per academic year as the primary instructor.
- Participating in departmental and centre service activities, including admissions reviews and committee work.
- Contributing to the centre’s interdisciplinary research and educational environment.
The appointment combines independent scholarship, undergraduate or graduate teaching responsibilities, collaboration, and academic service.
Salary, Benefits and Research Support
The position offers a fixed annual base salary of $101,766, in compliance with New York City’s pay transparency requirements.
The two-year appointment also includes competitive employee benefits and funding to support research and travel. NYU faculty housing may be offered as part of the compensation package, although the announcement does not guarantee housing for every appointee.
This combination of salary, institutional support, research funding, and interdisciplinary collaboration makes the opportunity particularly relevant to researchers seeking to establish a strong academic profile in data science and AI.
Eligibility Requirements
Applicants must hold a doctoral degree or expect to complete their doctorate by the planned start date of 1 September 2027.
Candidates should also demonstrate:
- A strong record of academic publications.
- Experience teaching quantitative subjects.
- Research expertise aligned with at least one of the centre’s identified research areas.
- The ability to develop an independent research programme.
- Experience or potential for collaboration across academic disciplines.
Applicants should be prepared to explain how their work aligns with the intellectual priorities of the NYU Center for Data Science.
The announcement does not specify a nationality restriction. International applicants should review the official recruitment information for any applicable work-authorisation requirements.
Required Application Documents
Applicants must submit the following materials through the Interfolio Faculty Search application page:
1. Cover letter
Introduce the applicant’s academic background, research achievements, and suitability for the position. The letter must identify in bold the relevant research area from the five areas listed in the vacancy. Applicants are encouraged to select only one primary area.
2. Curriculum vitae
Provide a current academic CV highlighting doctoral qualifications, publications, teaching experience, research projects, collaborations, and other relevant achievements.
3. Research interests statement
Submit a statement of no more than four pages. It should describe the applicant’s research interests, proposed research direction, and how the work relates to the NYU Center for Data Science.
The statement must also name one or more CDS-affiliated faculty members whose research interests substantially overlap with the applicant’s proposed work. The faculty directory is available at https://cds.nyu.edu/joint-faculty/.
4. Letters of recommendation
Arrange for at least two confidential letters of recommendation to be submitted through Interfolio.
How to Apply for the NYU Data Science Faculty Fellow Position
Interested candidates should complete the following steps:
- Review the official vacancy and confirm that their doctoral qualifications, research profile, and teaching experience meet the requirements.
- Identify the most relevant research area and clearly highlight it in bold in the cover letter.
- Prepare a focused research statement that explains the proposed research agenda and its connection to CDS.
- Review the centre’s faculty directory and identify researchers with substantial intellectual overlap with the proposed work.
- Upload the CV, cover letter, and research statement through Interfolio.
- Arrange for at least two confidential recommendation letters to be submitted.
- Review the completed application and submit it before the deadline.
Interfolio provides applicants with a free Dossier account for submitting application materials, including confidential recommendation letters.
Tips for Strengthening the Application
Applicants can strengthen their submissions by demonstrating a clear connection between their previous research and the centre’s interdisciplinary priorities. The research statement should articulate specific research questions, explain the methodological contribution, and identify opportunities for collaboration with relevant CDS faculty.
A strong application should also demonstrate research independence, a credible publication record, and evidence of effective quantitative teaching. Applicants should ensure that their proposed research is focused enough to be pursued during a two-year appointment while offering potential for meaningful scientific or societal impact.
Application Deadline
The deadline for the NYU Faculty Fellow Appointment in Data Science is 24 November 2026. Applications received by this date will receive full consideration.
The expected start date is 1 September 2027, and appointments will last two years.
VISIT OFFICIAL WEBSITE TO APPLY
Submit your application through the official Interfolio application portal:
