Research Associate in Edge AI Acceleration focusing on energy-efficient circuit design and software-hardware co-optimization at Singapore University of Technology and Design.
Responsibilities
Join the Edge AI Acceleration Group at the Singapore University of Technology and Design.
Push the boundaries of edge AI acceleration focusing on energy-efficient circuit design and software-hardware co-optimization.
Work with exciting applications in graph-based prediction.
Requirements
A Master/Bachelor degree 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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