Wentworth Institute of Technology invites applications for an Assistant Professor position in Computer Science within the School of Computing and Data Science, beginning Fall 2026. The standard load for the position is 12 credit hours per semester for the fall and spring semesters. The successful candidate will help launch and sustain the new BS in Applied Artificial Intelligence while teaching a subset of our Computer Science curriculum. This position has been designated as a Francis A. Sagan Professorship for the initial three-year term of the appointment. The Sagan Professorship carries a $3,000 annual salary supplement and a $5,000 annual research budget for each of the three years. The underlying R/A appointment continues beyond the three-year term without the additional funds. "This professorship honors alumnus Frank Sagan, a 1933 graduate and lifelong educator, and is awarded to a faculty member whose contributions align with Wentworth's mission and demonstrate exceptional impact in civil, environmental, mechanical, or other engineering disciplines, including emerging fields." About Wentworth and the School of Computing and Data Science: Wentworth is a university of opportunity recognized for providing a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education. The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer undergraduate majors in Applied Mathematics, Applied Artificial Intelligence, Computer Science, Cybersecurity, Data Science, and Information Technology, as well as graduate degrees in Computer Science, Data Science, and Cybersecurity. The SCDS has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile and web application development, stochastic processes, dynamical systems, financial mathematics, graph theory, algebra, and modeling. Faculty in SCDS maintain strong collaborative relationships with colleagues in sciences, humanities, and electrical and computer engineering, among other disciplines. Our faculty represents a wide range of backgrounds and experiences. Collaboration is highly encouraged and supported, and our School has no departmental boundaries. Many of our faculty bring significant industrial, consulting, entrepreneurial, and project management experience, contributing to a dynamic and applied academic environment. If you are interested in preparing our next generation of AI enabled Computer Scientists and if you have substantial experience with project-based learning and undergraduate Computer Science education innovation, then we'd love to hear from you.