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

Location: Binghamton, NY Category: Faculty Job Type: Full-time Posted On: Wed Oct 7 2026 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 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 benchmarking.

The successful candidate will provide intellectual leadership in this rapidly evolving field, develop and sustain a nationally and internationally recognized research program, pursue significant external funding from federal agencies, industry, and other sponsors, and contribute to major interdisciplinary research initiatives. The candidate will also be expected to build collaborative research programs across the School of Computing, the Watson College, and other academic and research units across 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.

Research Environment

The position will be affiliated with the newly launched $55 million New York Center for AI Responsibility and Research (CAIRR) at Binghamton University - one of the nation's emerging centers focused on safe, responsible, and trustworthy artificial intelligence. The Center brings together researchers working across the technological, societal, and policy dimensions of AI and is intended to serve as a premier AI research hub for the State University of New York system, advancing transparent, accountable, secure, and public-focused AI technologies.

The successful candidate will have an opportunity to help shape the Center's research agenda and develop collaborative initiatives at the intersection of AI safety, cybersecurity, trustworthy computing, AI-enabled software engineering, and responsible AI. The position is particularly well suited to a scholar or senior research and technology leader interested in building interdisciplinary research teams and pursuing ambitious, externally funded research programs addressing emerging challenges.

Candidates from industry, government, or research laboratories should demonstrate a record of substantial technical or research leadership and the ability to contribute to the Center's research mission through research collaboration, technology development, industry partnerships, sponsored research, translation of research into practice, and/or other forms of high-impact innovation.

The School of Computing and the Watson College are committed to building a diverse, inclusive, and collaborative environment for teaching, research, and professional engagement. We particularly welcome candidates who have demonstrated a commitment to fostering diversity, equity, inclusion, and belonging through their teaching, mentoring, research, and professional activities. Historically underrepresented minorities, women, persons with disabilities, and veterans are strongly encouraged to apply.

Job Requirements:

Minimum Qualifications (Required)

• Doctoral degree in Computer Science, Software Engineering, Computer Engineering, or a closely related discipline.

• Demonstrated record of externally sponsored research commensurate with appointment at the Associate or Full Professor level.

• Record of peer-reviewed scholarly publications and demonstrated research impact in an area relevant to the position.

• Record of effective teaching and research mentoring at the undergraduate and/or graduate levels.

For exceptional candidates whose primary experience is outside a traditional academic setting, equivalent evidence of research leadership, technical innovation, and significant impact may be considered in evaluating qualifications for the position.

Preferred Qualifications

• Outstanding and sustained record of externally sponsored research, including significant support from federal agencies and/or industry.

• National or international recognition for scholarly contributions in secure AI, trustworthy computing, AI-enabled software engineering, agentic systems, or a closely related area.

• Demonstrated success in leading or contributing to large-scale, interdisciplinary, multi-institutional, or industry-academic research collaborations.

• A demonstrated ability to develop and lead ambitious research initiatives and pursue major collaborative funding opportunities.

• Experience mentoring graduate students, postdoctoral researchers, and/or junior faculty and building high-performing research teams.

• Evidence of translating research into practice through industry partnerships, software systems, technology development, technology transfer, standards development, policy engagement, or other forms of societal impact.

• Research expertise that complements and strengthens existing capabilities in AI, cybersecurity, trustworthy computing, autonomous and physical AI systems, quantum technologies, microelectronics, or other strategic areas at Binghamton University.

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

Additional Information:

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