Assistant Professor – Cybersecurity AI Artificial Intelligence

Assistant Professor – Cybersecurity AI [Trustworthy Artificial Intelligence]

Position Number: 0084029

Hiring Unit:
Department of Information and Computer Sciences

Location:

Manoa Campus

Salary Information:
Competitive and commensurate with qualifications and experience

Tenure Track:
Tenure

Full Time/Part Time:
Full time

Temporary/Permanent:
Permanent

The Department of Information and Computer Sciences (ICS) at the University of Hawai'i at Manoa invites applications for a full-time (9-month), tenure-track Assistant Professor Faculty position in the broad area of Cybersecurity AI:
Trustworthy Artificial Intelligence. In particular applicants with background in Trustworthy and Secure AI (e.g., explainable AI, adversarial robustness, safety, privacy-preserving techniques, AI-based Deepfake) are encouraged to apply. The position will begin approximately August 01, 2026.

The University of Hawai'i at Manoa, a Carnegie R1 research university and the flagship campus of the UH system, is a top-50 public university dedicated to providing world-class teaching, research, and service.

Subject to position clearance. First review of applicants will begin January 15, 2026 with continuous recruitment until position is filled.

Duties and Responsibilities:

• Teach and develop courses in information and computer sciences
• Develop an extramurally funded research program
• Publish outstanding work in leading scholarly journals and conference proceedings
• Supervise graduate students; mentor and advise undergraduates
• Participate in capstone project mentoring
• Provide department, college, and university service
• Other scholarly duties as assigned

Minimum Qualifications:

• An earned Ph.D. in Computer Science or a closely-related discipline by the time of appointment from a college of university of recognized standing.
• Demonstrated capability for high-quality research in trustworthy and secure AI such as robust AI systems, privacy-preserving machine learning, adversarial ML, or information propaganda. As well as trustworthy and secure AI with publications in top-tier computer conferences and journals including but not limited to NeurIPS, ICML, ICLR, JMLR
• Demonstrated ability to teach effectively at the undergraduate and graduate levels
• Strong potential for securing external funding
• Demonstrated ability to collaborate with groups of students, faculty, and external partners of various backgrounds.
• Professionalism in meeting and conferring with others

Desirable

Qualifications:

• Experience working with industry or mentoring students in internships or in other projects in collaboration with industry partners.
• Experience with applied research and real-world problem-solving in partnership with government, industry, or nonprofit organizations.
• Experience mentoring students from a variety of backgrounds and disciplines.

To Apply:

Click the "Apply" button on the top right corner of the job posting to complete an application and attach required documents. Documents include: (1) a cover letter showing how you satisfy the minimum and desirable qualifications, (2) A curriculum vitae with a publication list, (3) Names and contact information of three individuals willing to provide professional reference letters, (4) A statement describing research interests, accomplishments, and future research plans, (5) A statement describing experiences in, and approaches to, teaching and mentoring students, especially any experience mentoring software projects in collaboration with industry partners.

Note:

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Inquiries:

Please contact the hiring committee chair Mehdi Tarrit Mirakhorli at mehdi
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