We have an opening for the position of “Research Assistant/Associate” (or Project Officer) for a research project related to statistical learning of time-series models. The successful candidate will work with Hemant Tyagi (NTU Singapore) and Chew Lock Yue (NTU Singapore) in collaboration with Ernesto Araya (LMU) on extending our recent work on matching correlated VAR time-series models. The duration of this project is expected to be between 4-6 months and will potentially lead to a PhD position at SPMS in NTU Singapore (based on performance).
Bachelor's degree (or above) in Mathematics/Computer Science/Statistics or related fields
Strong background in Probability/Statistics with an interest in statistical learning problems -- as evidenced by relevant coursework and projects
Knowledge of at least one of: MATLAB, R, Python or similar languages