Description
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 position at the Assistant and Associate Professor level with an expected start date of September 1, 2026. We are looking for 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.
Computational Social Science and Online Harms: Large-scale empirical analysis of online communities, toxic behavior, hate speech, harassment campaigns, radicalization pathways, and the socio-technical dynamics of fringe and mainstream social media.
Misinformation, Disinformation, and Information Integrity: Detection and analysis of coordinated information operations, low-credibility content propagation, generative AI misuse for deception, and interventions for maintaining information ecosystem health.
AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare; critical infrastructure; and the downstream effects of AI deployment in high-stakes social contexts.
Machine Learning for Social Computing: Development of scalable ML methods for social media analysis, natural language processing for content moderation, and large-scale data mining of online behavior.
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 encouraged to apply.
Binghamton University is one of four University Centers in the State University of New York System and an R1 research institute. Binghamton University was recently named a Top 10 Public Ivy by Forbes. The School of Computing (formerly Computer Science Department) has well established Ph.D. and M.S. programs, an accredited B.S. program in Computer Science, and an M.S. program in Information Systems. The School of Computing is ranked between 201 - 250 in the world by the recent THE (Times Higher Education) world ranking. The School currently has 51 full-time faculty members, about 800 undergraduate students, about 700 MS students and about 90 PhD students. The NSF industry-university collaborative research center on energy-smart electronic systems and local high-tech companies such as IBM, Lockheed-Martin and BAE provide opportunities for collaboration. The university has a Data Science Transdisciplinary Area of Excellent (TAE), which will provide opportunities for collaboration across the entire campus. Binghamton University was recently designated as a National Center of Academic Excellence in Cyber Defense Research (CAE-R) by the National Security Agency and the Department of Homeland Security, and was also selected as an NSF CyberCorp Scholarship for Service (SFS) site. Our faculty members excel in research in the areas of computer systems, artificial intelligence and cybersecurity and have a significant record of success, with eight faculty members receiving the NSF CAREER Award in the past four years and significant annual research funding from a variety of agencies.
The Binghamton University Institute for AI and Society, established under the SUNY STRIVE Artificial Intelligence strategic plan, addresses the transformational impact of AI on society through high-impact socio-technical research. The Institute integrates cross-disciplinary strengths across AI technology, community engagement, arts, social sciences, education, and healthcare to advance safe, secure, and ethical AI innovations. As a member of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has established research excellence in robotics and embodied-AI, safety and security, misinformation and inauthentic online behavior, as well as socio-technical analysis of emerging platforms, positioning faculty to tackle critical problems at the intersection of AI and society.
Requirements:
Minimum Qualifications (Required)
1. Must have a Ph.D. in computer science or a relevant field by September 1, 2026
2. Record of research
Preferred Qualifications (Optional)
The following qualifications are preferred but not required:
1. College-level teaching experience.
2. Educational or teaching experience in a U.S.-based setting.
Please be advised that H1B visa sponsorship may not be available for this position.
To apply, submit the following documents via Interview Exchange: http://binghamton.interviewexchange.com/jobofferdetails.jsp?JOBID=195195
Cover letter (at the beginning of your cover letter please provide a single sentence indicating your primary teaching and primary research interest areas)
Curriculum Vitae (CV)
Teaching statement
Research statement
Diversity statement (which describes your experience and evidence of teaching a diverse population of students, including first generation students, and students from diverse racial and ethnic backgrounds, and international students, and how these experiences would contribute to enhancing the diversity and climate of the school, college, university)
Names and contact information for three (3) references
Evaluation of application materials begins immediately and continues until the position is filled.
For more information, visit https://www.binghamton.edu/computer-science/
Requirements
Applicants must have a Ph.D. in Computer Science or a closely related discipline by the appointment date.
Strong evidence of research capabilities and commitment to teaching are essential. Junior tenure-track
faculty members have a significantly reduced teaching load for at least the first three years.
