Available Faculty Positions
Tenure-Track Positions in Artificial Intelligence
As a 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 Tandon School of Engineering’s Electrical and Computer Engineering and Computer Science Engineering departments; NYU Courant Computer Science department, the NYU Center for Data Science; the faculty appointments can be in any of the units, or joint.
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 control, signal processing, AI for health, systems for AI and AI for systems, cybersecurity and fairness, AI for power, and AI for wireless, as well as candidates combining a strong research program in AI with research in other areas of computer science, data science, electrical and computer engineering and other disciplines.
New appointees are expected to be outstanding 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 Meta, 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.
A PhD in Computer Science, Electrical and Computer Engineering, or a related field is required.
Please apply through Interfolio via this link: http://apply.interfolio.com/135223
The following materials will be required as part of your application: CV, cover letter, research statement, teaching statement, three (3) confidential letters of recommendation, three (3) of your most significant publications, software, or research products. We encourage applicants to include an optional statement of experience with, or knowledge of, inclusion, diversity, equity, and belonging efforts and your plans for incorporating them into your teaching, research, mentoring, and service. For full consideration, please apply by December 1, 2023, though we will continue to review applications past that date as needed.
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