Research Assistant in Neuromorphic Computing Accelerators

Singapore University of Technology and Design

Research Assistant

Apply now Job no: 494578
Work type: Contract, full-time
Location: Singapore
Categories: Bachelor Degree, Information Systems Technology & Design, Others

The research group of Asst. Prof. Wang Bo at Singapore University of Technology and Design invites applications for the position of Research Assistant on Neuromorphic Computing Accelerators. 

Neuromorphic Computing deploys Spiking Neuron Networks (SNN) models and learning rules to solve machine learning problems in a more energy-efficient way compared to Artificial Neural Networks. To facilitate AI on edge computing, energy-efficient architectures, novel devices, and low-power circuit techniques are highly desirable by SNN accelerators. In this project, candidates are expected to work with the Principal Investigator to (1) design and validate energy-efficient on-chip training architecture and circuits and (2) assist in novel device modeling and integration. Applicants should obtain a Bachelor's degree in Electrical and Computer Engineering, Computer Science, Telecommunications, or a related discipline with a background in digital circuit design. Familiarity with RTL design with Verilog or hardware-software co-design strategies will be a strong plus. 

We provide a highly competitive salary commensurate with qualifications and experiences. Please email us (bo_wang@sutd.edu.sg) if you have any inquiries about this position.

Applications close: 28 Feb 2021 Singapore Standard Time