- Streaming Machine Learning with performance/energy modeling, parallelization framework, or hybrid-model learning
- Load shedding techniques, efficient workload offloading, or fault-tolerant mechanisms
- Streaming compression algorithm implementation, or AI-guided automatic system tuning
Research Associate - Singapore - Singapore University of Technology & Design
1 month ago
Description
The Edge AI Acceleration Lab () 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 (), 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:
The team provides first-class facilities. Please email with your CV if you're interested in the position.