Description

The Department of Mathematics and Computer Science at Rutgers University-Newark invites applications for tenure-track assistant professors of Computer Science to start September 2026. Applicants from all research fields are welcome. The successful candidate will be expected to establish a vigorous externally funded research program, to expand our undergraduate program in Computer Science, and to teach at both graduate and undergraduate levels. The successful candidate will have a robust program of research in any of a range of areas including but not limited to Artificial Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with IDRIS (The Institute for Data, Research, and Innovation Science).

We especially welcome applicants from underrepresented minority groups. 

Positions are also open for candidates to be considered for Associate Professor and Professor level.

Requirements

A Ph.D. in Computer Science or a related field, outstanding record of research accomplishments as well as of effective teaching are required. 

Review of applications will begin November 1, 2025 and will continue until the positions are filled.  Prospective applicants should submit their application at https://academicjobsonline.org/ajo/jobs/30951

The Department of Mathematics and Computer Science is in the exciting phase of building up a vibrant research faculty in Computer Science. The department has PhD students in mathematics and data science and now intends to grow in the direction of computing in a broad sense. The successful candidate will play a vital role in the future development of the department’s teaching and research programs in Computer Science. 

The Institute for Data, Research and Innovation Science (IDRIS) is a Chancellor-level entity that will serve as an organizing hub for ethical and responsible scholarship and practice in data science, AI and technology at Rutgers University-Newark across the various schools on campus. IDRIS serves as a complement to the academic excellences being developed within the enterprise university.

Rutgers-Newark has exceptionally diverse faculty, graduate student and undergraduate student bodies and an established and vibrant commitment for DEI. Our institutional commitment to diversity, equity and inclusion (DEI), including our priority of diversifying our faculty ranks, is outlined in the Rutgers DEI strategic plan (https://diversity.rutgers.edu/university-plan). We especially encourage applications from backgrounds underrepresented in STEM including Black, Latinx, Indigenous, and LGBTQIA+ scientists.

Instructions to Applicants:  Please submit (1) a cover letter, (2) curriculum vitae (including a publication list), (3) research statement, (4) teaching statement, (5) one page statement on diversity, equity and inclusion (DEI) that outlines the candidate’s past efforts and future commitment to DEI (see Rutgers diversity initiatives at https://diversity.rutgers.edu/) and (6) the names and contact information for three to five references. One of the references should be able to evaluate teaching effectiveness.

Pre-employment Screenings: All job offers are contingent upon a successful pre-employment background check conducted prior to commencement of employment.

Affirmative Action/Equal Employment Opportunity Statement: Rutgers, the State University of New Jersey, is an Equal Opportunity / Affirmative Action Employer. Qualified applicants will be considered for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, genetic information, protected veteran status, military service or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment.