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

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

Category: Faculty

Department: School of Computing, Watson College

Locations: Binghamton, NY

Position ID: 205592

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:

Binghamton University is committed to providing access, equal
opportunity, and reasonable accommodation for individuals with
disabilities in employment, its services, programs, and activities.
To request reasonable accommodation to participate in the job
application or interview process, please contact the ADA
Coordinator by completing the following Request Form.

The State University of New York is an Equal
Opportunity/Affirmative Action Employer. It is the policy of
Binghamton University to provide for and promote equal opportunity
employment, compensation, and other terms and conditions of
employment without discrimination on the basis of age, race, color,
religion, disability, national origin, gender identity or
expression, sexual orientation, veteran or military service member
status, marital status, domestic violence victim status, genetic
predisposition or carrier status, or arrest and/or criminal
conviction record unless based upon a bona fide occupational
qualification or other exception.

As required by title IX and its implementing regulations,
Binghamton University does not discriminate on the basis of sex in
the educational programs and activities which it operates. This
requirement extends to employment and admission. Inquiries about
sex discrimination may be directed to the University Title IX
Coordinator or directly to the Office of Civil Rights (OCR).
Contact information for the Title IX Coordinator and OCR, as well
as the University's complete Non-Discrimination Notice may be found
here.

Pursuant to Executive Order 161, no State entity, as defined by the
Executive Order, is permitted to ask, or mandate, in any form, that
an applicant for employment provide his or her current
compensation, or any prior compensation history, until such time as
the applicant is extended a conditional offer of employment with
compensation. If such information has been requested from you
before such time, please contact the Governor's Office of Employee
Relations at (518) 474-6988 or via email at info@goer.ny.gov.

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2017.

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

To apply, visit http://binghamton.interviewexchange.com/jobofferdetails.jsp?JOBID=205592

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