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

Association for Computing Machinery (MY); City of Binghamton (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

None

Job summary

The School of Computing at Binghamton University invites applications for a senior faculty-level or equivalent position with a start date of September 1, 2027. The role focuses on AI Interpretability, Alignment, and Safe Scientific AI, seeking a scholar with an outstanding research record and leadership in externally sponsored projects.

Review of applications begins immediately and continues until the position is filled.

Qualifications

• PhD in Computer Science, Software Engineering, Computer Engineering or related field.
• Evidence of externally sponsored research at Associate/Full Professor level.
• Peer‑reviewed publications and measurable impact in AI-related areas.

Education

Doctoral degree in Computer Science or closely related field

Record of externally sponsored research leadership

Academic teaching and mentoring excellence

Job description

The School of Computing in the Thomas J. Watson College of Engineering and Applied Science at Binghamton University invites applications for a senior faculty-level or equivalent position, with an expected start date of September 1, 2027.

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.

Please review the full description at the application link below.

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

• Strong and sustained record of externally sponsored research, including significant support from federal agencies and/or industry.
• National or international recognition for scholarly contributions in AI interpretability, alignment, safe scientific AI, 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.

Review of applications will begin immediately and continue until the vacancy is filled.