Research Fellow I

Job Description: Postdoc Research Fellow at SUTD

Skills: Multi-agent reinforcement learning and theoretical analysis for large-scale networks 

Qualifications: PhD degree in computer science, electrical engineering or management science or applied mathematics. Should have multiple publications in top engineering conferences/journals in computer science, electrical engineering, networking, experiments, and system optimization. Good in oral and written English.

Experience: Expertise in research in algorithm design and distributed network optimization using machine learning, stochastic modelling, optimization, or game theory. Should be good at applying mathematical modelling and computation algorithms to computer/communication networks.