Associate or Full Professor in the School of Computing

Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission outstanding academics facilities and community life - promotes extraordinary student success research and service; Binghamton University is where our students faculty and staff thrive.

Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting engaging environment. Our faculty and staff appreciate Binghamtons collegial and inclusive culture and its commitment to excellence education innovation and civic engagement. Our diverse campus community contributes to our success.

Binghamton merges rigorous academics distinguished faculty who value cutting-edge and community-engaged research teaching and service exceptional staff and ultramodern facilities to engage and challenge its 18000 students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent these classmates share a desire to shape the future through technology insight intellectual exploration and community service.

Position Title: Associate or Full Professor

Department/Division: School of Computing

The School of Computing in the Thomas J. Watson College of Engineering and Applied Science at Binghamton University (The State University of New York at Binghamton) invites applications for a tenure-track positions at the Associate and Full Professor level with an expected start date of January 1 2027. We are looking for excellent candidates in the area of AI and Society.

We invite candidates in areas including but not limited to:

AI Safety Trustworthiness and Adversarial Systems: Research on adversarial manipulation of AI systems bot detection coordinated inauthentic behavior platform integrity and mechanisms for building robust and trustworthy AI systems at scale.

Advanced Computing Methods and Hardware for Scalable Safe and Responsible AI: Research on advanced computing methods enabling energy efficient high performance computing quantum computing agentic computing edge computing and provably safe computing hardware and software for scalable safe and responsible AI systems.

Software Engineering with AI: Research on software engineering methods with AI tools including but not limited to large language models AI agents and complex agentic systems.

Applicants must have a Ph.D. in Computer Science or a closely related discipline by the appointment date. Strong evidence of research accomplishments and commitment to teaching are essential.

The School of Computing and the Watson College are dedicated to the goal of building a diverse and inclusive teaching research and working environment. We are particularly interested in candidates with a commitment to diversity and inclusiveness. Historically underrepresented minorities women persons with disabilities and veterans are strongly encouraged to apply.

Minimum Qualifications (Required)

• Ph.D. in computer science or a relevant field by December 31 2026
• Record of research
• College-level teaching experience

Preferred Qualifications (Optional)

The following qualifications are preferred but not required:

• Academic research credentials in publications and sponsored research
• Educational or teaching experience in a U.S.-based setting

Please be advised that H1B visa sponsorship may not be available for this position.

Binghamton University is committed to providing access equal opportunity and reasonable accommodation for individuals with disabilities in employment its services programs and activities. To request reasonable accommodation to participate in the job application or interview processplease contact the ADA Coordinator by completing the followingRequest Form.

The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment compensation and other terms and conditions of employment without discrimination on the basis of age race color religion disability national origin gender identity or expression sexual orientation veteran or military service member status marital status domestic violence victim status genetic predisposition or carrier status or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception.

As required by title IX and its implementing regulations Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR as well as the Universitys complete Non-Discrimination Notice may be foundhere.

Pursuant to Executive Order 161 no State entity as defined by the Executive Order is permitted to ask or mandate in any form that an applicant for employment provide his or her current compensation or any prior compensation history until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time please contact the Governors Office of Employee Relations at or via email

Binghamton University is a tobacco-free campus effective August 1 2017.

Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials.

To apply submit the following documents via Interview Exchange portal/link: letter (at the beginning of your cover letter please provide a single sentence indicating your primary teaching and primary research interest areas)

Evaluation of application materials begins immediately and continues until the positions are filled.

For more information visit Experience:

IC