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Job ID: 199215

Tenure-Track Positions in Artificial Intelligence
New York University


Date Posted Nov. 10, 2022
Title Tenure-Track Positions in Artificial Intelligence
University New York University
New York, NY, United States
Department NYU Courant Computer Science department, the NYU Center for Data Science, and the NYU Tandon School of Engineering
Application Deadline Open Until Filled
Position Start Date Sep. 1, 2023
 
 
  • Associate Professor
  • Computer/Information Sciences
 
 

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, and the NYU Tandon School of Engineering; the faculty appointments can be in any of the three 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 AI for Health, 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 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.

Qualifications

A PhD in Computer Science, Electrical and Computer Engineering, or a related field is required.

Application Instructions

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 15, 2022, though we will continue to review applications past that date as needed.

 

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

Sustainability Statement 

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability


  • NYU is an Equal Opportunity/Affirmative Action Employer.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
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pertaining to this university job announcement.

 

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