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Research Assistant (Reinforcement Learning)
Research Assistant (Reinforcement Learning)
As a Research Assistant in Reinforcement Learning, you will acquire knowledge in black-box and grey-box testing of deep reinforcement learning architectures and implement research outcomes in a tool. You will also provide support in project management activities.
About the role
About the Role
The School of Computer Science and Engineering invites applications for the position of Research Assistant.
Key Responsibilities
- Acquire knowledge and understand the key technologies on black-box and grey-box testing, with statistical (Probably Approximately Correct - PAC - like) guarantees, of deep reinforcement learning (dRL) architectures
- Implement the research outcomes in a tool and integrate with the project case study, in close collaboration with researchers across 3 participating institutes (SMU, NUS, NTU)
- Provide support in other project management activities
Job Requirements
- Bachelor’s degree in Computer Science or related fields
- Proficient in programming with Python and familiarity with standard Machine Learning tools
- Prior design and implementation experience in reinforcement learning technologies
Skills
PythonMachine LearningReinforcement Learning