Research Fellow on SNN Hardware Acceleration
1 week ago
The research group led by Asst. Prof. Angela Bo Wang () at Singapore University of Technology and Design, Singapore invites applications for the position of Post-doctoral Research Fellow on hardware acceleration for event-based vision.
In collaboration with the National University of Singapore and the French National Centre for Scientific Research (CNRS), the group aims to develop a Spiking Neural Network (SNN)-based hardware accelerator specifically designed for event-based vision (e.g., depth estimation, optical flow estimation) to achieve optimal energy efficiency. Applicants must hold a PhD degree in Electrical and Computer Engineering or Computer Science with a strong background in VLSI Circuit Design or Computer Architecture. Experience in chip design or computing architecture design for AI hardware acceleration is a strong plus. The candidate can benefit from access to first-class research facilities.
Interested candidates are encouraged to submit their CVs to Prof. Wang via. Any further inquiries about this position are also welcomed via email.
PhD Scholarship on SNN Hardware Acceleration
The research group is also seeking a highly motivated PhD student to join the team and work in the field of hardware acceleration for event-based vision. The PhD candidate should major in Electrical and Computer Engineering or Computer Science with a strong background in VLSI Circuit Design or Computer Architecture, and be self-motivated and proactive in research. Research experience in digital integrated circuits design, chip architecture or FPGA-based embedded system development is a strong plus. IELTS (6.5) or TOEFL is required for students whose undergraduate studies were not in English.The PhD candidate will receive a full scholarship covering tuition fees and monthly allowance and have access to first-class research facilities. Interested candidates are to submit their CVs and transcripts to Prof. Wang via
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