Research Fellow, RMI

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-RMI/34849-en_GB/?st=C399ACF246ED339AB5F9AC996FF39760DCDFA50E

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Chen Ying on developing advanced modelling and optimization frameworks using machine learning and reinforcement learning for real-world operations research problems.

The main responsibilities of the position include:

1. Develop advanced modelling and optimization frameworks and algorithms, and write scientific papers for the research project.
2. Apply the developed frameworks and solutions to solve real-world operations research problems, and write technical reports on the results.
3. Attend regular group meetings and present research work.
4. Collaborate with other colleagues and students in the research group.

Qualifications

• PhD degree in Mathematics
• At least two years of research experience in machine learning, reinforcement learning, and optimization.