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Postdoctoral Position in Neuromorphic Computing

Hardware for Artificial Intelligence
Hardware for Artificial Intelligence.

The Alternative Computing Group's program in neuromorphic computing and hardware for artificial intelligence has projects ranging from developing CMOS platforms for comprehensive neuromorphic measurements to detailed measurements of novel devices that can serve as artificial synapses or neurons. Current interests include magnetic tunnel junctions (MTJs) and metal-oxide memristors, but we are interested in any devices that have appropriate behavior. We also have a strong theoretical effort where we are investigating new architectures and algorithms involving, for example, stochastic computing with MTJs or time-based encoding. Ongoing opportunities exist for a recent PhD in physics, electrical engineering, or a related field to join this exciting new research program as a postdoctoral associate working on any of the current activities.  

We are particularly interested in candidates with a strong mixed-signal design background, VLSI skills, and/or experience in device fabrication. NIST has a well-equipped NanoFab, where devices can be added in BEOL processes on regular CMOS tape-outs that we obtain from foundries. We are also interested in candidates with cross-disciplinary theoretical skills interested in working at the intersection of device physics, neuroscience, computer architecture, and algorithm development.

Interested candidates should send a recent CV to altcomp [at] nist.gov (AltComp[at]nist[dot]gov). Please remove any personal identifying information from your CV or encrypt it before emailing.

Created June 12, 2020, Updated September 13, 2024