PostDoc Researcher
Core
Develop closed-loop discovery systems where AI agents generate hypotheses, plan, and execute multi-step experiments with robots to design bio-inspired materials.
Role type
Postdoctoral Researcher (AI-enabled autonomous experimentation)
Builds
Scalable synthesis-and-characterization pipelines for bio-derived and supramolecular materials
Domain
Artificial Intelligence, Robotics, Soft-matter Physics, Materials Science
Deliverable
production ML models | product features
Required skills
AI/ML algorithms for autonomous decision making, reinforcement learning, imitation learning, game theory, control algorithms, large multimodal models, Bayesian optimization, hardware-software system integration, robotic platform development, automated analytical pipeline design
Preferred skills
Experience with liquid-handling robots, cloud-based orchestration, photoelectron/Raman spectroscopy, AFM, electron microscopy
Technologies
Reinforcement learning, Imitation learning, Game theory, Control algorithms, Large multimodal models (VLMs/VLAs), Bayesian optimization, Cloud infrastructure
Responsibilities
Build algorithms to control AI agents for autonomous laboratory planning and execution; Develop autonomous workflows coordinating robots and analytical instruments; Publish scientific results in reputed conferences and journals; Supervise graduate research assistants and undergraduates
Seniority
Postdoctoral, hands-on IC
