Research Fellow (Statistics and Data Science)

Requirements

• Strong technical background in probability, statistics, optimization, or related theoretical areas.
• Demonstrated ability to conduct rigorous mathematical derivations and develop theoretical results.
• Prior research experience in theoretical statistics, statistical machine learning, high-dimensional inference, empirical process theory, stochastic modeling, optimization, or related areas.
• Experience with writing and developing theoretical research papers is highly desirable.

Additional Information

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-%28Statistics-and-Data-Science%29/33317-en_GB/ We regret that only shortlisted candidates will be notified. Job Description The successful candidate will work with Asst. Prof. Shen Shuting on combinatorial inference under a project on "Post-learning inference for near-optimal discrete structures". The main responsibilities of the position include: Theoretical derivations, numerical experiments, real data applications, paper writing Qualifications / Discipline: - PhD in Statistics, Data Science, Operations Research, Applied Mathematics, Computer Science, or a closely related field. - Candidates in the final stages of their PhD studies may also be considered.

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Company Intel

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