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• SLAM, autonomous driving and mobile robotics • Remote sensing, image/video processing and computer vision • Object detection, tracking and classification using deep learning • Monitoring
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students in Electrical and Computer Engineering, Microsystems Engineering, Imaging Science, Computer and Information Sciences, and Sustainability. Faculty research expertise includes digital and computer
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. QUALIFICATIONS: REQUIRED: PhD. in Electrical, Microelectronic and/or Computer Engineering or a closely related field. Refereed publications in one or more of the following areas: Thin Films (Deposition, Etching
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batteries, fuel cells, supercapacitors), biotechnology and protein engineering, and enabling the efficient processing of vast astronomical datasets. Successful candidates will be expected to augment and