We invite applications for multiple nine-month, tenure-track Assistant Professor positions to begin in Fall 2026. The Department of Computer Science at the University of Denver (DU) is building an academically varied faculty with a strong commitment to responsible computing research and education for just futures. Listed in order of preference based on departmental need, we are particularly interested in passionate teacher-scholars who conduct research in artificial intelligence, security, games, and/or theory/algorithms. Applicants should demonstrate how their work aligns with one of the Ritchie School's strategic convergence areas of data science, artificial intelligence and security. The Ritchie School's existing research strengths include embodied AI and robotics, power and energy, and engineering in medicine. Successful candidates will be scholars who are committed to transforming learners into leaders through experiential, inclusive, and student-centered learning. We seek candidates to advance the theory and application of artificial intelligence for the public good. Ideal applicants will address socio-technical challenges such as fairness, transparency, and ethical alignment, applying AI responsibly across domains like energy, sustainability, government, education, healthcare, law, and critical infrastructure. Other areas of particular interest include foundational and practical aspects of security and privacy, agentic security, critical infrastructure protection, artificial intelligence driven security and resilience, adversarial robustness, provenance tracking, and artificial intelligence assisted privacy management and governance. We also welcome applicants who do research into games and who can integrate systems, algorithms, or artificial intelligence into their work. Applicants should have an active interest in contributing to our undergraduate game development program. Finally, we are looking for candidates focused on algorithmic theory with an emphasis on improving and expanding algorithms for real-world applications with a focus on humane and responsible computing. Cross domain theoretical contributions such as to games, artificial intelligence, or one of the other of our focus areas is encouraged.
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Job Type
Full-time
Career Level
Entry Level
Industry
Educational Services
Education Level
Ph.D. or professional degree