Research Fellow I

Job Req ID:  1574
Employee Category:  Research
Department:  ISTD Pillar

The Edge AI Acceleration Lab (https://sites.google.com/view/bowang/home) in Singapore University of Technology and Design, Singapore is leading a project on Energy Efficient, Distributed Green Streaming Machine Learning for Edges with Prof. Zehui Xiong (https://sites.google.com/view/zehuixiong), who is a Clarivate Highly Cited Researcher. The team is looking for a highly motivated post-doc Research Fellow. The ideal candidate is expected to hold a Ph.D. degree (or will obtain it shortly) with expertise in one of the following domains:

  1. Streaming Machine Learning with performance/energy modeling, parallelization framework, or hybrid-model learning
  2. Load shedding techniques, efficient workload offloading, or fault-tolerant mechanisms
  3. Streaming compression algorithm implementation, or AI-guided automatic system tuning

 

The team provides first-class facilities. Please email bo_wang@sutd.edu.sg with your CV if you're interested in the position.