Post-Doc position: AI-Driven Robotic Experimentation for Controlling Metal Degradation
Core
Build a self-driving laboratory for corrosion science by running robotic, high-throughput experiments to discover compounds that control metal degradation in structural, biomedical, and battery applications.
Role type
Post-doctoral researcher (AI-driven robotic experimentation)
Builds
Automated experimental workflows and structure-property models for light alloys
Domain
Materials science / Electrochemistry / AI for Science
Deliverable
production ML models
Required skills
Robotic platform operation, electrochemical methods, machine learning, quantitative data analysis, FAIR data management
Preferred skills
Lab automation, electronic lab notebooks, databases
Technologies
Machine learning agents, robotic testing platforms
Responsibilities
Run automated experimental workflows, discover high-performing compounds, build structure-property models with computational scientists, uncover degradation mechanisms, publish results and contribute to open datasets
Seniority
Post-doctoral researcher
