Job Summary We are seeking a hands-on postdoctoral researcher at BEARS under AxCIS Project (AI xploration of Catalysis with Inorganics and Surfaces) in Singapore. This project uses AI and laboratory automation to develop integrated pathways for producing chemicals and fuels in a holistic approach to decarbonization. This role centers on integrating an LLM-driven agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. You will work closely with multidisciplinary team and architect and ship end-to-end, closed-loop workflows that connect instruments, edge devices, data backends, and AI agents. Duties & Responsibilities Integrate instruments and IoT devices with reliable drivers/APIs build autonomous/robotic testing workflows. Design LLM agents for planning, tool-use, and experiment control with safety interlocks. Develop and deploy RL/BO/active learning for closed-loop ...