Senior Faculty-Level or Equivalent Position - Secure AI and Agentic Systems

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 secure, trustworthy, and agentic artificial intelligence
. We are particularly interested in candidates whose research addresses the security, privacy, and complex dynamics of AI systems, from underlying hardware and computational infrastructure through deployment and operation.

The ideal candidate will develop rigorous approaches to securing the AI lifecycle?from silicon to deployment?and to understanding, managing, and mitigating the behavior of interacting AI systems. Research in this area may draw upon hardware, software, cryptographic, formal, and systems-level methods to establish verifiable trust to strengthen privacy guarantees and improve the security and reliability of AI systems. Areas of interest include, but are not limited to:

• Hardware Security, Privacy, and Trustworthy AI Infrastructure
  :
  Developing architectures, protocols, and verification mechanisms that make AI systems trustworthy and resilient against adversarial attacks. Relevant research may include privacy-preserving federated learning, model-weights chain of custody, silicon-rooted inference trust, forensic designs for hardware and systems, and side-channel attacks on GPU inference.
• Agentic and Complex AI Systems
  :
  Developing methods to model, detect, and prevent emergent failures, cascading risks, and undesirable behaviors when autonomous AI agents interact with one another and with complex environments. Relevant research may include inter-domain cascade modeling for coupled infrastructure, agentic market stability, critical infrastructure interdependency modeling, and AI safety…