Faculty Fellow Appointment in Data Science Fall 2027

compensation package which may include NYU faculty housing as well as funds to support research and travel. The Center for Data Science (CDS) is New York University’s focal point for university-wide efforts in Data Science and Artificial Intelligence. The Center was established in 2013 to advance NYU’s goal of creating a world-leading training and research facility serving researchers, industry professionals, and students at the forefront of Data Science, Machine Learning, and Artificial Intelligence. As of 2026, CDS became a department in the newly-formed Courant Institute School of Mathematics, Computing, and Data Science. Our vibrant community of experts collaborates across disciplines to drive innovation and solve real-world challenges. Today, CDS counts 28 jointly appointed interdisciplinary faculty and 4 clinical faculty housed on three floors of our modern 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and an undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 90 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the fields of Data Science and Artificial Intelligence. The CDS Faculty Fellow will be expected to work at the boundaries between computational methods and domain sciences. They are also encouraged to develop collaborations with faculty at CDS and NYU. They will lead original research projects of their choosing with impact in one or more scientific domains and in one or more methodological domains (machine learning, computer science, statistics, and applied mathematics). Fellows will also teach courses for CDS students. We seek outstanding interdisciplinary researchers doing CDS-aligned work in the following areas: Core Machine Learning/AI Methods Cognitive & Brain Sciences Machine Learning Theory AI for Science Computational Social & Political Sciences Responsible AI Building and understanding robust AI systems for applications across science and society remains a challenge. Successful candidates will bring a research agenda that can take advantage of the unique intellectual opportunities afforded by NYU, and will have experience in working with researchers across different fields. This is a full-time, non-tenure position, with a teaching load of one (1) CDS course per year as the primary instructor. You will also be expected to participate in service activities of the Center for Data Science (such as helping review admissions applications, committee work, etc.). Appointments will be for two years. Fellows will be offered a competitive salary and benefits, with funds to support research and travel. A start date of September 1, 2027 is planned. In compliance with NYC's Pay Transparency Act, the annual base salary of this position is a set amount of $101,766. Applicants must possess a doctorate degree or expect to have one by the start date. Applicants should have a strong publication record and demonstrated experience teaching quantitative topics. Please submit your cover letter, curriculum vitae, a brief statement of research interests (no longer than 4 pages; including how you see your work in relation to CDS), and at least 2 confidential letters of recommendation via the Faculty Fellow Interfolio application page. Your cover letter should indicate in bold which of the topic areas bulleted above your research pertains to (please try to choose only one). The statement of research interests should mention the names of one or more faculty members associated with the NYU Center for Data Science who would have substantial intellectual overlap with the applicant?s interests and likely program of research. More information about relevant faculty members can be found on our Faculty page . Please submit your application by November 24, 2026 for full consideration. Any questions may be directed to cds@nyu.edu . 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