The successful candidate is expected to establish a nationally recognized, externally funded research program; build collaborations across MAE, Physics, Texas Center for Superconductivity (TcSUH), the UH Quantum Initiative, Hewlett Packard Enterprise Data Science Institute (HPE DSI), Electrical and Computer Engineering (ECE), Mathematics, Chemistry, and Computer Science (CS); mentor undergraduate and graduate students; and adopt effective, evidence-based pedagogical practices in the development and delivery of undergraduate and graduate-level courses. Topics may include quantum transport; spin/valley physics; superconductivity; correlated, topological, low-dimensional, and van der Waals quantum materials; semiconductor and hybrid quantum platforms; cryogenic/thermal environments; quantum sensing, networking, and memory; scientific machine learning; inverse design; uncertainty quantification; multiscale modeling; and computational workflows for QIS-enabling materials and devices.