Faculty Recruiting

Hardware Systems for ML/AI-Driven Sensor Data Acquisition Position:  Assistant, Associate or Full Professor with a strong research record at the intersection of hardware design for sensor signal acquisition and machine learning (candidates are expected to have experience in both areas). Relevant sub-topics include, but are not limited to, integrated circuit design, sensor devices & systems, field programmable devices (FPGAs), embedded systems, deep and recurrent neural networks, as well as machine learning model compression.   Candidates with cross-disciplinary strengths are particularly encouraged to apply. Exceptional candidates in other areas of electrical and computer engineering are encouraged to apply as well.  This position is offered in the context of a collaborative hire between the ECE and Physics & Astronomy (P&A) departments.