NYU Tenure-Track Positions in Artificial Intelligence


As part of its Artificial Intelligence Initiative, New York University invites candidates to apply for tenure-track positions in AI. The
search is conducted jointly by the NYU Courant Computer Science department, the NYU Center for Data Science, and the NYU Tandon School of
Engineering; the faculty appointments can be in any of the three units, or joint.

All applications should be submitted through
Interfolio. We are looking for strong candidates working in a broad set of areas of AI, including but not limited to, machine learning,
natural language processing, computer vision, robotics, and AI for Health. A PhD in Computer Science, Electrical and computer engineering,
or a related field is required.

Competitive salaries and startup packages will be offered. New appointees are expected to be
excellent scholars and to participate in teaching at all levels from undergraduate to doctoral. NYU offers an outstanding scholarly
environment, with a large and rapidly expanding group of faculty working in AI.

Collaborative research with industry is facilitated
by geographic proximity to AI research labs at Facebook, Google, IBM, Bell Labs, NEC, AT&T, Siemens, Flatiron Institute, and many companies
and non-profits involved in AI research and applications.

For candidates interested in AI for Health, ample opportunities exist to
develop collaborative and translational research projects with NYU Langone Medical Center, the Grossman School of Medicine, the College of
Dentistry, and other top-notch medical institutions in the New York area.

NYU is committed to fostering a diverse, inclusive, and
welcoming environment. Applications by members of underrepresented groups are strongly encouraged. For full consideration, please apply by
January 1, 2021, though we will continue to review applications past that date as needed.

Required Application
Materials:

  • CV
  • Cover letter
  • Research Statement
  • Teaching Statement
  • Three confidential letters
    of recommendation
  • Three of your most significant publications, software, or research products

Optional Application
Materials:

We encourage applicants to include a brief statement describing how your research, teaching, and service has prepared
you to support our commitment to diversity and inclusion.


EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity.

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