GRA vacancy for "Deep Reinforcement Learning for Energy-Efficient Resource Allocation Optimization" project

University / InstituteUTAR (Sg Long Campus)
Website URL for the Research Center/Lab (optional)
Project TitleDeep Reinforcement Learning for Energy-Efficient Resource Allocation Optimization
Start DateJul 01, 2018
End DateJun 30, 2020
Funding AgencyUTAR
Contact Person /  Email(s)Tham Mau Luen /
Contact Phone(s)017-7608385
Nationality Requirements on Candidate(s)Open to all nationalities
Energy efficiency (EE) has become an important criterion for designing the next generation (5G) communication systems. Conventional energy-efficient resource allocation algorithms generally consider the overall EE problem as nonlinear fractional program. This project aims to address the complicated problems with the aid of deep reinforcement learning.
UTAR Sungai Long Campus, Malaysia
Monthly stipend
Up to RM 3,300 (Depending on Qualifications and Experience)
Pre-requisite Degree
MEng/MSc and BEng/BSc (CGPA>3.0) in a field related to Electrical, Electronic, Telecommunications Engineering, IT or Computer Science.
General Requirements
• Excellent command of English
• Able to work with minimal supervision, self-motivated and independent
• Good track records in journal publications (an added advantage)
Expected Outcomes
Publications in ISI Journals and Top Conference Proceedings
How to Apply?
Interested candidates may submit their resumes to Assist. Prof. Dr. Tham Mau Luen at
Only shortlisted applicants will be notified and called for interview.
Until the position is taken