Available Faculty Positions | NYU Tandon School of Engineering

Available Faculty Positions

in CSE

Professor Teaching Students

NYU is strongly committed to fostering a diverse, inclusive, and welcoming environment. Applications by members of all underrepresented groups are strongly encouraged.

Department Chair and Professor

The Department of Computer Science and Engineering (CSE) at the NYU Tandon School of Engineering (NYU Tandon) invites applications for the position of Department Chair and Professor of CSE, with an anticipated start date of September 1, 2022.

The CSE department has 22 tenured/tenure-track faculty members, including 13 NSF CAREER Award winners, as well as 13 contract faculty members. We have multiple tenure track faculty slots open for growth.  The department has a history of collaborative research across NYU, including with the Center for Urban Science and Progress, the Center for Data Science, the Grossman School of Medicine, the Global School of Public Health, the Courant Institute of Mathematical Sciences, and other Tandon School of Engineering Departments.

Departmental research areas include big data management, analysis, and visualization, security and privacy, algorithms and theory, and machine learning. We also have groups working in interdisciplinary research areas like AI for games, fair and responsible data science, cybercrime, public health and social media, online political communication, urban computing, and sports analytics.

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Assistant or Associate Professor, Medical Image Analysis

The Department of Computer Science and Engineering at the NYU Tandon School of Engineering invites applications for a tenure-track professor position at the level of Assistant or Associate Professor, to start September 2022. 

This search is part of the Health Engineering cluster hire at NYU Tandon, a strategic effort to invest in Research and Technologies related to Health. More information about NYU’s broader Faculty Cluster Hiring Initiative, can be found here and here.

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Contract Faculty

The Department of Computer Science and Engineering invites applications for three full-time, non-tenured, renewable faculty positions in Computer Science, at the level of Industry Assistant Professor or Industry Associate Professor, with start a date of September 1, 2022 or January 2, 2023.

An Industry Professor's primary roles are teaching, mentoring, and educational innovation, and the position may also entail some administrative work and outreach. The professor may be responsible for managing a team of teaching assistants. The normal teaching load is 3 courses per academic semester.

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Visiting Faculty

The Department of Computer Science and Engineering (CSE) at the NYU Tandon School of Engineering (NYU Tandon) invites applications for an open-rank 1-year visiting faculty position, beginning September 1, 2022.  The visiting faculty member is expected to contribute to both research and teaching in the department. The teaching load will be a maximum of 3 courses for the year.

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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 Courant Computer Science department, the NYU Center for Data Science, the NYU Tandon Computer Science and Engineering Department, and the NYU Tandon Electrical and Computer Engineering Department; the faculty appointments can be in any of the four 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, AI for Health. Competitive salaries and startup packages will be offered. 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 Facebook, Google, DeepMind, Amazon, Microsoft Research, IBM, Bell Labs, AT&T Research, Flatiron Institute and many companies and non-profits involved in AI research and applications.

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