Edge AI Research Fellow — Energy-Efficient Hardware & Co-Design

SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

The Edge AI Acceleration Group at the Singapore University of Technology and Design is seeking a motivated Senior Research Assistant / Research Associate / Research Fellow to join us in advancing edge AI acceleration, focusing on energy-efficient circuit design and software-hardware co-optimization with applications in event-based vision.

The role offers a flexible, vibrant research environment with state-of-the-art facilities, collaboration with leading institutions and opportunities to advance

Qualifications

• PhD/Master in Electrical and Computer Engineering or a related field.
• Strong track record of publications in software-hardware co-design or computer architecture.
• Experience in event-based processing or neuromorphic computing is a strong plus.

Skills

Publications in software-hardware co‑d

Event-based processing

Education

Electrical & Computer Engineering

Tools

Neural Architecture Search

Hardware simulator design

Job description

The Edge AI Acceleration Group at the Singapore University of Technology and Design is seeking a motivated Senior Research Assistant / Research Associate / Research Fellow to join us in advancing edge AI acceleration, focusing on energy-efficient circuit design and software-hardware co-optimization with applications in event-based vision.

The role offers a flexible, vibrant research environment with state-of-the-art facilities, collaboration with leading institutions and opportunities to advance