Postdoctoral Fellow in Spintronics and AI Hardware at George Washington University George Washington University in United States

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow to join the NIST CHIPS Metrology program. This position focuses on developing novel nanodevices and measurement technologies for low-power, high-reliability AI hardware, with a particular emphasis on In-Memory Computing and Magnetic Tunnel Junctions (MTJs). The research aims to advance temporal computing hardware for artificial intelligence by creating highly accurate characterization routines for next-generation AI accelerators.

Key research areas include statistical characterization of spintronic devices under various bias conditions, system measurement of novel devices integrated on custom CMOS chips, and RF engineering involving the development of microwave circuits for on-wafer high-frequency probing. The ideal candidate will have a Ph.D. in Electrical Engineering, Physics, or a related field, a strong publication record in spintronics, and technical skills in static and dynamic magneto-resistive RF measurements (including FMR). Proficiency in Python, LabVIEW, and Mathematica is also required.

This opportunity is ideal for researchers interested in spintronics, AI hardware, and advanced measurement technologies. The position is based in Washington, DC, United States, and offers the chance to work in a cutting-edge research environment at George Washington University. While specific funding details are not provided, the role is part of the NIST PREP program, which typically includes a stipend. Interested candidates should apply via the provided application link and ensure they meet all qualifications.