Autonomous Infrastructure and Robotic Science Lead
Core
Lead frontier research at the intersection of AI, autonomous platforms, and domain science to develop hardware/software infrastructure for laboratory autonomy.
Role type
Senior IC research lead (autonomous science & robotics)
Builds
Open-source MADSci software framework, hardware/software infrastructure for autonomous laboratories, and robotic workflows for chemistry, biology, and quantum science.
Domain
National laboratory science (chemistry, biology, quantum) + AI/ML + Robotics
Deliverable
production ML models | infrastructure | physical/clinical work
Required skills
autonomous experimental platforms, AI/ML for predictive modeling, generative models, reinforcement learning, agent-based approaches, HPC/data infrastructure integration, digital twins/simulation-augmented AI
Preferred skills
none stated
Technologies
MADSci framework, HPC, ML pipelines, simulation tools
Responsibilities
Guide development of infrastructure for laboratory autonomy (physical labs, robotics, software), facilitate collaborations with domain scientists and partner institutions, direct RPL team advancement of autonomy/robotics, publish in refereed journals, mentor postdocs/students/staff
Seniority
Senior, hands-on IC with leadership
