Applications are welcome in any area of collaboration with existing faculty, including but not limited to AI/ML in aerospace applications, unmanned aircraft, advanced air mobility systems, aerospace autonomy, flight test, remote sensing, emerging aerospace propulsion, VLEO/reentry applications, and space systems engineering. The successful candidate will be results-oriented, have a record of superior scholarship demonstrated by: 1) a promising vision for and experience in developing and maintaining externally funded research, and 2) ability to teach high-quality courses at both the undergraduate and graduate levels and mentor and graduate M.S. and Ph.