Post-learning inference for near-optimal discrete structures

This position involves collaborating with Asst. Prof. Shen Shuting on combinatorial inference research focused on post-learning inference for near-optimal discrete structures. The role requires conducting theoretical derivations, performing numerical experiments, and applying findings to real-world data. The successful candidate will also be responsible for writing and developing theoretical research papers.