About the opportunity
What this programme is offering
NYU Data Science Faculty Fellow Appointment 2027: $101,766 Annual Salary and Research Funding in the United States
Are you an emerging academic researcher specialising in artificial intelligence, machine learning, statistics, or computational social sciences? New York University (NYU) is inviting applications for its Faculty Fellow Appointment in Data Science for Fall 2027, offering an opportunity to advance independent research, collaborate with leading scholars, and contribute to interdisciplinary teaching.
Based at NYU's Center for Data Science (CDS) in New York City, this full-time, non-tenure-track academic appointment offers a fixed annual base salary of US$101,766, competitive employee benefits, and funding to support research and travel. Faculty housing may also be available as part of the compensation package.
The appointment runs for two years and is scheduled to begin on 1 September 2027. It is designed for researchers who can connect computational methods with important scientific, technological, and societal questions.
Applications must be submitted by 24 November 2026.
NYU Data Science Faculty Fellow 2027: Overview
Position: Faculty Fellow Appointment in Data Science
Institution: New York University (NYU)
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: US$101,766
Additional benefits: Competitive employee benefits, research and travel funding, and possible faculty housing
Application deadline: 24 November 2026
Application platform: Interfolio Faculty Search
Interested applicants should consult NYU's official recruitment announcement for the complete vacancy details, application instructions, and any additional employment conditions.
About the NYU Center for Data Science
Established in 2013, NYU's Center for Data Science advances interdisciplinary education and research in data science, machine learning, and artificial intelligence.
In 2026, the centre became a department within the newly formed Courant Institute School of Mathematics, Computing, and Data Science. Its academic and research environment brings together scholars from different disciplines to develop computational methods and apply them to complex scientific, technological, and societal challenges.
The centre offers undergraduate and master's-level education in data science, a PhD programme, and research opportunities that encourage collaboration across academic fields.
The Faculty Fellow appointment supports researchers who can combine computational expertise with important questions arising in science, technology, and society. Successful candidates are expected to develop independent research agendas while establishing collaborations with faculty members across CDS and other NYU departments.
For researchers seeking to strengthen their academic profile, the appointment provides an opportunity to contribute original scholarship, engage in interdisciplinary research, and participate in the university's teaching and academic community.
Research Areas
Applicants should have research interests aligned with at least one of the following five areas.
1. Core Machine Learning and Artificial Intelligence Methods
This area focuses on advancing the design, development, evaluation, or application of machine learning and artificial intelligence techniques.
Researchers working on new algorithms, computational approaches, and methods for solving complex problems may find their interests relevant to this category.
2. Machine Learning Theory
This research area examines the mathematical and theoretical foundations of learning algorithms and computational models.
It may appeal to candidates whose work investigates the principles underlying machine learning, including theoretical analysis and the foundations of computational learning.
3. AI for Science
This area focuses on applying artificial intelligence and computational methods to scientific discovery.
Researchers may explore how data-driven approaches can support scientific investigations, improve analytical methods, or address specialised challenges across scientific disciplines.
4. Computational Social and Political Sciences
This research area uses computational approaches, statistical modelling, and data science to investigate social and political systems.
It is relevant to researchers interested in applying quantitative and computational methods to questions involving social behaviour, political processes, institutions, and broader societal trends.
5. Responsible AI
Responsible AI research examines how artificial intelligence systems can be developed, evaluated, and understood in ways that address reliability, accountability, and their wider effects on society.
Candidates working on the responsible development and use of AI should explain how their research contributes to these concerns.
Applicants should demonstrate how their research agenda aligns with one or more of these areas and how interdisciplinary collaboration could strengthen their work.
Responsibilities of the Faculty Fellow
Successful candidates will lead original research projects of their choosing while contributing to the centre's academic and educational activities.
Key responsibilities include:
Conducting independent research: Developing and carrying out high-quality research that advances data science, machine learning, or artificial intelligence.
Publishing research findings: Producing scholarly work that contributes to the development of knowledge in relevant fields.
Building academic collaborations: Establishing research partnerships with faculty members at CDS and other NYU departments.
Teaching: Serving as the primary instructor for one CDS course per academic year.
Participating in academic service: Contributing to departmental activities, including admissions reviews and committee work.
Supporting interdisciplinary education: Engaging with the centre's research and teaching environment and contributing to collaboration across disciplines.
The position combines independent scholarship, teaching, academic service, and collaborative research. Applicants should therefore be prepared to demonstrate both research excellence and the ability to contribute to an academic community.
Salary, Benefits, and Research Support
The Faculty Fellow appointment offers a competitive compensation package designed to support academic research and professional development.
Annual Salary of US$101,766
The position carries a fixed annual base salary of US$101,766, in accordance with New York City's pay transparency requirements.
Candidates should review the official vacancy announcement for further information about salary administration and applicable employment conditions.
Employee Benefits
The appointment includes competitive employee benefits. Details of the available benefits should be confirmed through NYU's official recruitment information.
Research and Travel Funding
Research and travel funding is available to support the fellow's academic activities.
This support can help facilitate research-related work and professional engagement, subject to the university's applicable funding arrangements.
Possible Faculty Housing
NYU faculty housing may be available as part of the compensation package. However, the announcement does not guarantee housing for every appointee, so candidates should confirm availability and applicable conditions with the university.
Two-Year Academic Appointment
The position is scheduled to run for two years, beginning on 1 September 2027.
This period provides an opportunity to develop an independent research programme, publish scholarly findings, establish academic collaborations, and gain further teaching experience.
Eligibility Requirements
Applicants must satisfy the academic and professional requirements specified in the vacancy announcement.
1. Doctoral Qualification
Candidates must hold a doctoral degree or expect to complete their doctorate by the planned appointment start date of 1 September 2027.
Applicants nearing the completion of their PhD should ensure they can meet this requirement before the appointment begins.
2. Strong Academic Publication Record
Candidates should demonstrate a strong record of academic publications.
Applicants should use their CV and research statement to highlight relevant scholarly contributions, research achievements, and evidence of their ability to produce high-quality academic work.
3. Teaching Experience
Experience teaching quantitative subjects is expected.
Candidates should describe relevant teaching responsibilities, courses taught, instructional experience, and their ability to communicate technical concepts effectively.
4. Relevant Research Expertise
Applicants must have research expertise aligned with at least one of the five identified areas: core machine learning and AI methods, machine learning theory, AI for science, computational social and political sciences, or responsible AI.
Their application should explain how their research connects with the centre's academic priorities.
5. Ability to Develop Independent Research
Candidates should demonstrate the ability to formulate research questions, pursue original investigations, and develop an independent research programme.
A clear research direction and evidence of intellectual independence can help applicants communicate their suitability for the appointment.
6. Interdisciplinary Collaboration
Applicants should demonstrate experience collaborating across academic disciplines or the potential to establish productive interdisciplinary research partnerships.
Candidates should explain how their work could connect with researchers at CDS and other NYU departments.
The supplied announcement does not specify a nationality restriction. International candidates should consult the official recruitment information regarding applicable work-authorisation and employment requirements in the United States.
Required Application Documents
Applications must be submitted through the Interfolio Faculty Search application platform. The announcement identifies the following required materials.
1. Cover Letter
The cover letter should introduce the applicant's academic background, research achievements, and suitability for the Faculty Fellow appointment.
Important application instruction: Applicants must identify in bold the relevant research area from the five areas listed in the vacancy. The announcement encourages candidates to select only one primary research area.
Candidates should explain how their expertise, research interests, and professional experience align with the selected area and the objectives of the NYU Center for Data Science.
2. Curriculum Vitae
Submit an up-to-date academic CV highlighting relevant qualifications and achievements.
The CV should include, as applicable:
Doctoral qualifications and academic background.
Research experience and publications.
Teaching experience.
Research projects and collaborations.
Relevant technical expertise and academic achievements.
Organise the information clearly so the selection committee can assess your academic record and research capabilities.
3. Research Interests Statement
Applicants must submit a research interests statement of no more than four pages.
The statement should describe the candidate's research interests, proposed research direction, and the relationship between their work and the NYU Center for Data Science.
A strong statement should clearly communicate the research questions the applicant intends to pursue, the significance of the proposed work, and how collaboration within CDS and the wider university could support its development.
Applicants should follow any formatting or submission instructions specified on the official application platform.
How to Apply for the NYU Data Science Faculty Fellow Appointment 2027
Interested researchers should complete their applications through the university's official Interfolio Faculty Search page.
Follow these steps:
Review the official vacancy: Read the full announcement and confirm that your qualifications, research interests, and experience meet the requirements.
Choose your primary research area: Identify the area that most closely aligns with your research and follow the instruction to highlight it in bold in your cover letter.
Prepare your academic CV: Present your qualifications, publications, teaching experience, and research achievements clearly.
Develop your research statement: Explain your research interests and future direction within the four-page limit.
Write your cover letter: Demonstrate your suitability for the appointment and your potential contribution to CDS.
Complete the online application: Submit the required documents through Interfolio Faculty Search and provide any additional information requested.
Submit before the deadline: Ensure your complete application is received by 24 November 2026.
Applicants should rely on NYU's official recruitment channels for the application link, any additional requirements, and updates to the selection process.
How to Strengthen Your Application
A strong application should demonstrate academic excellence, research independence, and a clear connection between the candidate's work and the centre's priorities.
Consider the following recommendations:
Present a focused research agenda: Explain the questions you want to investigate and why they matter.
Demonstrate research impact: Highlight publications and other scholarly contributions that show the quality and relevance of your work.
Connect your research to CDS: Explain how the centre's interdisciplinary environment could support your research objectives.
Show evidence of teaching ability: Include relevant experience teaching quantitative subjects and communicating complex ideas.
Emphasise collaboration: Describe how your research could connect with other scholars and contribute to interdisciplinary projects.
Follow the application instructions carefully: Pay particular attention to the bold research-area requirement in the cover letter and the four-page limit for the research statement.
Applicants should ensure that every document presents a consistent account of their expertise, achievements, and future research plans.
Application Deadline
The deadline for the NYU Data Science Faculty Fellow Appointment for Fall 2027 is 24 November 2026.
The two-year appointment is scheduled to begin on 1 September 2027 and offers a fixed annual base salary of US$101,766, employee benefits, research and travel funding, and possible faculty housing.
For doctoral researchers working in artificial intelligence, machine learning, statistics, applied mathematics, and computational social sciences, this position offers an opportunity to advance independent scholarship while contributing to interdisciplinary research and teaching at New York University.
Review the official vacancy announcement, prepare the required documents, and submit your application before the deadline.
Advance your research. Build interdisciplinary connections. Contribute to the future of data science and artificial intelligence.
How to apply