Description
The School of Engineering and Applied Science at Princeton University seeks applications for a tenured faculty position with demonstrated research expertise, teaching excellence, and leadership, in the broad area of artificial intelligence.
Candidates must hold a Ph.D. in a related field and should have a commitment to teaching and a demonstrated ability to pursue a high impact research program. The appointment is planned to be at the level of tenured Professor, and it is expected the candidate will hold tenure at their current institution, have a leadership position in industrial research labs, or equivalent. An appointment will be made from a home department in the School of Engineering; joint appointments between multiple departments will be considered as appropriate. A start date of September 1, 2027 is preferred.
The School of Engineering is committed to fostering an academic environment that acknowledges and encourages diversity and differences. We seek faculty members who will create a climate that embraces excellence, with a strong commitment to teaching and mentoring that will enhance the work of the department and that will attract and retain a diverse student body.
Applicant review will begin in October. For fullest consideration, please submit applications no later than November 15, 2026, using the following site: apply.interfolio.com/193577. Applications require: a cover letter, complete curriculum vitae, descriptions of research and teaching interests, and the contact information for at least four references. This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) the scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
The University also offers a comprehensive benefits program to eligible employees. Please see this link for more information.
