The Center for Agile and Adaptive Manufacturing (CAAAM) is seeking a Research Assistant Professor to collaborate with a team of faculty on issues related to AM. This is a non-tenure track terminal faculty position with a primary association with CAAAM and secondary association with the Department of Information Science, College of Information. The selected research faculty is expected to focus on data science and analytics in the context of advanced manufacturing systems in general and additive manufacturing systems more specifically. A successful candidate will work closely with faculty in the Department of Information Science and Research IT Services as well as other faculty and researchers in CAAAM. The candidate is expected to conduct research on parallel algorithms, machine learning, and artificial intelligence capabilities with a goal to exploit disparate datasets in manufacturing, process optimization, and related predictive analytics. The candidate is also expected to develop educational material for training skilled workforce to operate advanced manufacturing systems as well as mentor graduate students and post-doctoral researchers working in CAAAM.