Faculty Position in the Engineering and Applied Science Division: Information, Systems and Computing (ISC)

About this position

The Division of Engineering and Applied Science at the California Institute of Technology invites applications for tenure-track and tenured faculty positions. Preference will be given to candidates at the Assistant Professor level; however, extraordinary applicants at the Associate Professor or Full Professor level may also be considered. We seek highly qualified candidates who are committed to a career in teaching, mentoring, and research excellence in the broad areas of Information, Systems, and Computing. Applicants should have a record of innovation in a relevant research domain, including—but not limited to—applied and computational math, computer science, machine learning and artificial intelligence, optimization, control & dynamics, robotics & autonomy, signal processing, information theory, quantum computation, and the mathematics of data and models. This is a joint search among the Department of Computing + Mathematical Sciences, the Department of Electrical Engineering, and the Department of Mechanical and Civil Engineering that reflects the unique interdisciplinary nature of Caltech. A successful candidate will join one of these departments, or a combination thereof, as best reflects their interests in teaching, mentorship, and research. It is also anticipated that a successful candidate would collaborate broadly with investigators both within and beyond the Engineering and Applied Science Division, as well as in centers at Caltech including, for example, the Jet Propulsion Laboratory, the Center for Autonomous Systems and Technologies, the Institute for Quantum Information and Matter, the Chen Institute for Neuroscience, the Merkin Institute, and the Resnick Sustainability Institute. Applications should be submitted online. Reviewing of applications will begin on November 16th. Full consideration will be given to applications that are completed by December 14, 2026. The appointment is contingent upon completion of the Ph.D. degree in an appropriate engin

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