Postdoctoral Research Scholar in Bayesian Machine Learning for Healthcare at National University of Singapore / Duke-NUS Medical School National University of Singapore in Singapore

Yan Shuo Tan and Bibhas Chakraborty are recruiting a postdoctoral research scholar for a two-year position at the National University of Singapore / Duke-NUS Medical School.

The project focuses on Bayesian machine learning for healthcare, with applications to dynamic treatment regimes, mobile health, and trial simulations. The research draws on methods such as Prior-Data Fitted Networks (PFNs), Bayesian Additive Regression Trees (BART), and generative methods for tabular data.

Day-to-day work includes software development, numerical experimentation (including deep learning), theoretical research, academic writing, and collaboration with medical researchers. The postdoc will also have opportunities to mentor PhD, master's, and undergraduate students.

Applicants should have a PhD in statistics, computer science, applied mathematics, or a related field, together with a strong foundation in statistical and computational principles. The post is open until filled.

How to apply: email Yan Shuo Tan with a CV, brief research statement, representative publication, and contact details for two references. More details are available via the linked post and group page.