9 combinatorial-optimization positions at Singapore University of Technology & Design
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-efficient hardware design for next-generation aerial robotics. The selected candidate will play a central role in designing lightweight, energy-optimized electronics that enable long-endurance, power
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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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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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focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A Master/Bachelor degree in Electrical and
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commercial UV resin printers. Design and fabricate modifications for commercial UV resin printers. Modify and optimize slicing software settings and printer firmware for non-standard hardware configurations
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. The design and integration of CHIPLETS is a complex multi-physics task that requires substantial design space exploration and co-design and co-optimization accounting for the electrical, thermal and mechanical
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wearable devices using digital knitting and advanced fabrication techniques. Motion Sensing & Data Processing: Implement and optimize algorithms for joint motion tracking, integrating signal processing and
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including, but not limited to, AI/ML, optimization, stochastic modelling, statistics, game theory, financial engineering, and simulation. Empirical, experimental, computational, and analytical research
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or more systems methodologies including, but not limited to, AI/ML, optimization, stochastic modelling, statistics, game theory, financial engineering, and simulation. Empirical, experimental, computational