UW physics and mechanical engineering seek outstanding faculty candidates in quantum information science & technology

The QuantumX logo in purple.

The University of Washington (UW) Department of Physics and Department of Mechanical Engineering (ME), seek outstanding candidates with expertise in quantum information science and technology (QIST) to apply for new full-time faculty positions.

The new ECE and ME positions are supported by a UW College of Engineering (COE) cluster hiring initiative in QIST, while new CSE hires in QIST will be closely aligned with UW’s community of QIST researchers.

“Our vision is for UW to have expertise across the full quantum stack,” said Kai-Mei Fu, UW associate professor of ECE and physics and co-chair of UW’s interdisciplinary QuantumX Initiative. “Our future colleagues in ECE, ME, and CSE will help UW address the key QIST engineering challenges of performance and scalability. We want to help develop a Quantum Silicon Valley in the Pacific Northwest, and we want UW to be the #1 place in the world for students to come and build their skills in QIST.”


The UW Department of Physics invites applications invites applications for a full-time, tenure-track Assistant Professor position in the area of experimental atomic, molecular, and optical (AMO) physics. The successful candidate will expand our existing AMO research efforts with neutral atoms and trapped ions, and will be welcomed into a vibrant campus-wide quantum research community with a variety of synergistic opportunities for collaboration. Learn more and apply via Interfolio.


The Mechanical Engineering Department in the College of Engineering at the University of Washington, Seattle, invites outstanding faculty candidates to apply for a full-time faculty position at the Assistant or Associate Professor level. This position is on a 9-month service period with an anticipated start date of September 16, 2024.

This position will perform research in quantum information science and technology (QIST) in one of the following areas of interest: quantum control, machine learning to optimize QIST systems, quantum machine learning, and quantum mechanical/acoustic systems. Learn more and apply via Interfolio.