Assistant/Associate Professor in Safe and Trustworthy AI Systems

University of Hawaii • Honolulu, HI

7d • Onsite

About The Position

The Department of Information and Computer Sciences at the University of Hawaiʻi at Mānoa invites applications for a full-time, tenure-track Assistant or Associate Professor in Safe and Trustworthy AI Systems, beginning in the 2027–2028 academic year. This is one of three positions in a Human-First AI cluster and is a separate search. The position will contribute to the department’s growing AI curriculum, the proposed BS in Computer Science Artificial Intelligence Track, and the Professional MCS in AI/Data Science. It will also be connected to the University of Hawaiʻi AI Institute, which is under development and aims to advance human-first AI through research, education, and service that strengthen the capabilities and well-being of Hawaiʻi’s people, guided by human judgment and decision-making, responsible stewardship, and community-defined priorities.

The department seeks candidates advancing the foundations, methods, and computing systems needed for safe, trustworthy, resilient, and human-first AI. Research areas include AI safety and alignment; AI model security and privacy; privacy-preserving AI systems; verification, validation, and monitoring; dependable embedded and edge AI; resilient cyber-physical and intelligent sensing systems; and human-centered evaluation and responsible deployment. Relevant work may address ethical, legal, and societal implications, as well as malicious attacks, failures, uncertainty, or resource constraints, through AI methods, enabling computing systems, or their integration.

The position is a permanent, nine-month, tenure-track appointment. Rank will be commensurate with qualifications and experience and subject to University appointment requirements. Salary is commensurate with qualifications and experience. Appointment is pending position clearance.

Requirements

• Ph.D. in Computer Science or a closely related field by the start date.
• Evidence of high-quality research through peer-reviewed publications in conferences or journals relevant to the position.
• Commitment to excellence in undergraduate and graduate teaching, mentoring, and advising.
• Demonstrated ability to collaborate with diverse groups of students, faculty, and external partners.
• For Assistant Professor appointments: strong potential to establish an independent research program and obtain extramural funding.
• For Associate Professor consideration: an established independent research program, sustained scholarly contributions and extramural funding, and a record of effective teaching, student mentoring, and service appropriate to the rank.

Nice To Haves

• Experience developing or evaluating AI methods or computing systems relevant to the position, including efficient AI computing, agents that plan and use tools, or systems operating under safety, security, reliability, privacy, or resource constraints.
• Experience translating research into usable tools, models, software, platforms, benchmarks, or evaluation methods, with attention to accessibility, meaningful human control, and impacts on users and communities.
• Experience with interdisciplinary or applied research involving government, industry, or nonprofit partners.
• Experience mentoring students from a variety of backgrounds and disciplines through research, internships, or collaborative projects.

Responsibilities

• Teach and develop undergraduate and graduate courses in the candidate’s area of expertise, related areas of artificial intelligence, and other information and computer sciences courses.
• Establish or sustain an extramurally funded research program and publish high-quality scholarly work.
• Supervise graduate research.
• Mentor and advise undergraduate students.
• Participate in capstone mentoring.
• Develop interdisciplinary and external collaborations.
• Provide department, college, and university service.
• Perform other scholarly duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree