Assistant Professor - Computational Engineering for Quantum Technologies

About the role

The Department of Mechanical and Aerospace Engineering (MAE) at the University of Houston invites applications for a Presidential Frontier Faculty (PFF) tenure‑track Assistant Professor position. The appointment is a joint effort with 80 % effort in Mechanical & Aerospace Engineering (the tenure home) and 20 % effort in Physics, expected to begin in Fall 2027. The role supports UH’s interdisciplinary faculty hiring initiative focused on health, energy, sustainability, and security, emphasizing Computational Engineering for Quantum Technologies.

Responsibilities

• Establish a nationally recognized, externally funded research program in computational and theoretical quantum materials, devices, and quantum information science.
• Develop collaborations across MAE, Physics, the Texas Center for Superconductivity (TcSUH), the UH Quantum Initiative, Hewlett Packard Enterprise Data Science Institute (HPE DSI), Electrical and Computer Engineering, Mathematics, Chemistry, and Computer Science.
• Mentor undergraduate and graduate students, fostering interdisciplinary research experiences.
• Design, develop, and deliver undergraduate and graduate courses, employing evidence‑based pedagogical practices.
• Contribute to the growth of UH’s quantum ecosystem and align departmental strengths in materials, mechanics, manufacturing, thermal sciences, controls, robotics/autonomy, aerospace systems, and energy systems with emerging quantum technologies.

Requirements

• Ph.D. or equivalent degree in mechanical engineering, materials science and engineering, physics, applied physics, electrical engineering, chemical engineering, computer science, applied mathematics, chemistry, or a closely related field by the time of appointment.
• Strong record of scholarship with demonstrated expertise or high research potential in computational engineering for quantum technologies.
• Creative vision for future research and a commitment to securing external funding.
• Commitment to engineering education and the ability to adopt effective, evidence‑based teaching methods.
• Excellent written and interpersonal communication skills.