Research Fellow in edge AI acceleration focusing on energy-efficient circuit design at Singapore University of Technology and Design. Engaging in software-hardware co-optimization and graph-based prediction applications.
Responsibilities
Join us in pushing the boundaries of edge AI acceleration
Focus on energy-efficient circuit design and software-hardware co-optimization
Work with exciting applications in graph-based prediction
Requirements
A PhD in Electrical and Computer Engineering or a related field
A strong track record of publications in energy-efficient digital circuit design
Hands-on chip tape-out experience is a strong plus
Experience in compute-in-memory design is a strong plus
Benefits
Work in a flexible and vibrant research environment with state-of-the-art lab facilities
Collaborate with A*STAR , the most prestigious research institutes in Singapore and leading universities worldwide for international exposure
Enjoy competitive remuneration + excellent opportunities to grow your academic and professional profile
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