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Engineering or a related field. A strong track record of publications in software-hardware co-design (e.g., Neural Architecture Search) or computer architecture (e.g., hardware simulator design) Experience in
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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engineering is a strong plus. Familiarity with AI/ML techniques and their application to experimental design or biological data analysis. Demonstrated interest in translational research or technology
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, contributing to cutting-edge research at the intersection of engineering, healthcare, and smart textiles. We seek candidates from engineering backgrounds who has experiences in healthcare device design
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microelectronics / materials science / electronic materials as well as experience in applying AI / machine learning techniques (both data and image-based) on interesting use cases as well as strong programming