We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on multimodal reasoning models for oncology. The project focuses on developing, post‑training, and evaluating flexible AI models that can support complex oncologic diagnostic and therapeutic decision‑making in a safe, transparent, and clinically grounded manner.
The successful candidate will work on oncology‑focused multimodal reasoning models that combine language, vision, biomedical knowledge, clinical context, and relevant patient‑level data to produce reliable, auditable, and uncertainty‑aware outputs.
A major focus of the position is the development of AI‑based reasoning strategies for oncology, including tool‑augmented inference, multi‑agent or compound model workflows, process supervision, verifier‑guided training, and reinforcement learning–based post‑training. The goal is to build systems th...