Senior Faculty-Level or Equivalent Position - AI Safety Foundations
Listed on 2026-10-10
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Education / Teaching
Academic, University Professor
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 Binghamton's 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 18,000+ 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.
Job 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 senior faculty-level or equivalent position, with an expected start date of September 1, 2027. The primary focus of this search is on established academic researchers for appointment at the tenured Associate Professor or Full Professor level, as appropriate.
Exceptionally accomplished senior research and technical leaders from industry, government, or research laboratories will also be considered for an appropriate appointment.
We seek an established scholar and research leader with an outstanding record of externally sponsored research and scholarly impact in the broad area of AI Safety Foundations. We are particularly interested in candidates who will advance the mathematical and theoretical foundations of AI safety and develop rigorous frameworks for evaluating, verifying, and, where possible, guaranteeing the safety of advanced AI systems.
Areas of interest include, but are not limited to:
- Foundational Limits and Mathematical Theory
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Physical limits of AI inference; information-theoretic limits of AI safety verification; and physics-informed machine learning for energy systems. - Formal Methods and Verification
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Formal verification of neural network properties; formal verification for non-attentional sequential models; certified robustness with provable adversarial bounds; and AI metrology. - Physics-Informed and Physics-Constrained AI
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Physics-informed principles for AI design, physics-constrained machine learning, and the development of AI systems that incorporate physical laws and domain constraints. - AI Hardware and Energy-Efficient Computing
: AI hardware architectures, energy-efficient machine learning, and the theoretical and technological foundations of safe, efficient, and reliable AI computing.
The successful candidate will provide intellectual leadership in this rapidly evolving field, develop a nationally and internationally recognized research program, and pursue significant external funding from federal and state agencies, industry, and other sponsors. The candidate will be expected to lead and participate in large-scale, multidisciplinary research initiatives and strengthen collaborative research across the School of Computing, the Watson College, and other academic and research units at Binghamton University and the broader SUNY system.
As a senior faculty hire, the successful candidate will contribute to expanding the School of Computing's research portfolio and strategic capabilities. The candidate will help build a vibrant research community through collaboration, mentorship, and the recruitment of outstanding faculty, postdoctoral researchers, and graduate students. The candidate will also contribute to undergraduate and graduate education and mentor students and junior faculty, as appropriate to the candidate's appointment and background.
ResearchEnvironment
The position will be affiliated with the newly launched $55 million New York Center for…
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