Research Fellow (Mathematics)
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Job Description
This Research Fellow position in Mathematics focuses on developing advanced Reinforcement Learning methods for reliable autonomous decision-making in finance under uncertainties. Responsibilities include data management with various database types, research assistance using quantitative finance and econometrics, and applying machine learning and programming skills (Python, PyTorch) to develop predictive models and strategies. A PhD in Mathematics, Statistics, or Computer Science, with proficiency in reinforcement learning, quantitative finance, and strong programming skills, is required.
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Requirements
- PhD in Mathematics/Statistics/CS.
- Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning.
- Strong programming skill in Python, TypeScript, and JavaScript, along with frameworks like PyTorch.
- Excellent problem-solving abilities and attention to detail. Strong written and verbal communication skills.
- Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions.
About This Position
Where is this position based?
The position is based at National University of Singapore (NUS), in Singapore, SG. Check the job description above for flexible or hybrid arrangements.
How do I apply for this job?
Click the Apply button on this page — it takes you to National University of Singapore (NUS)'s official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.
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