The Departments of Computer Science and Mathematics & Statistics in the College of Arts and Sciences at American University invite applications for a full-time, tenure-track assistant professor position with a focus in data science or artificial intelligence beginning August 1, 2026. We encourage candidates in data science, artificial intelligence, computer science, statistics, mathematics, or related fields with a vibrant research and teaching profile to apply. Applicants should have a PhD or an anticipated PhD completion by August 2026 in computer science, data science, statistics, mathematics, or a related field. Candidates should be effective teachers and must be strongly committed to excellence in scholarly research and student mentorship. We envision a faculty member who can teach and mentor undergraduate and graduate students in both Computer Science and Mathematics & Statistics and who can demonstrate potential to secure external funding to support their research agenda. In addition to scholarship and teaching, responsibilities will include participation in department, school and university activities and service. This position is part of a university-wide initiative to enhance our capacities in data science and artificial intelligence. American University is a private institution with an increasingly diverse student population in a dynamic metropolitan area. Our campus is within easy reach of the many science centers located in and around the nation’s capital, including NASA, NOAA, NIST, DOE, NSF, NIH, DOD, and many other federally funded labs and research centers. Our departments pride themselves on our student-centered approach to mentorship and teaching, and we are committed to building a welcoming community for all students interested in computer science, statistics, and mathematics. The Computer Science and Mathematics & Statistics Departments offer both undergraduate and MS degrees. We welcome applications that demonstrate interest in collaboration with existing faculty and local institutions, including interdisciplinary collaborations in adjacent fields.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree