Senior Faculty-Level or Equivalent Position - AI Interpretability, Alignment, and Safe Scientific AI

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.

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 Interpretability, Alignment, and Safe Scientific AI
. We are particularly interested in candidates whose research advances the foundational understanding, computational methods, and practical capabilities needed to understand, align, verify, and safely deploy advanced AI systems, especially in scientific and engineering applications.

Areas of interest include, but are not limited to:

• AI Interpretability and Explainability
  :
  Developing mathematical, computational, and empirical methods to understand the internal representations, mechanisms, reasoning processes, and decision-making behavior of AI systems.
• AI Alignment and Control
  :
  Advancing methods for aligning AI systems with human values, intended objectives, and operational constraints, including scalable oversight, preference learning, robust objective specification, and the control of advanced AI behavior.
• Safe Scientific AI
  :
  Developing AI systems that can be trusted in scientific discovery, engineering design, and other high-consequence applications, including methods for ensuring physical consistency, scientific validity, uncertainty awareness, and reliable decision-making.
• Trustworthy AI Systems
  :
  Developing methods for evaluating, validating, and securing AI systems, including robustness, adversarial resilience, uncertainty quantification, and the detection and mitigation of unsafe or unintended behavior.

The successful candidate will provide intellectual leadership in this rapidly evolving field, develop a nationally and internationally recognized research program, and pursue significant external…