Formal Methods and Verification: 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:
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.
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
- 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 theoretical and foundational AI research or a
closely related area.
- Demonstrated success in leading or contributing to large-scale,
interdisciplinary, multi-institutional, or industry-academic
research collaborations.
- 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.
Binghamton University is a tobacco-free campus effective August 1,
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=205594
je-03ba838f5ea04280ac7342852100648f
