Computing & Mathematical Sciences Division - Postdoctoral Researcher: Statistics & Machine Learning

The successful candidate will conduct research in modern statistics, machine learning, or related areas. Relevant topics may include, but are not limited to, probabilistic machine learning, decision-focused uncertainty quantification, conformal prediction, tabular foundation models, and time-series forecasting. Candidates with strong backgrounds in other areas of statistics and machine learning are also encouraged to apply. · The lab collaborates with leading academic and industry partners. The position includes a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, an annual return flight to the home country, and full visa application support. Key Responsibilities: Conduct original research in modern statistics, machine learning, artificial intelligence, or a related area.