6 machine-learning-phd Fellowship positions at Singapore University of Technology & Design
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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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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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other duties aligned with the Centre’s needs, without adjusting your appointment grade or title. Skills and qualifications required: Obtained or expected PhD related to the social sciences or behavioural
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effects and their coupled interactions. In effect, this a complex problem that needs the application for AI / machine learning to enable guided, efficient and effective optimization of the CHIPLET
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machine learning for real-world applications. Scalable Digital Health Solutions: Develop methodologies for reliable, long-term motion monitoring across diverse user groups and environments
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, and translational grant proposals. Engage with industry and clinical partners to shape the roadmap for productization and deployment. Preferred Qualifications PhD in Electrical Engineering