Postdoctoral Researcher in AI-Enabled Autonomous Materials Discovery
Core
Developing an AI-enabled autonomous experimentation platform to accelerate materials discovery, specifically focusing on organic crystal growth and structure–property relationship discovery.
Role type
Postdoctoral Researcher in AI-Enabled Autonomous Materials Discovery
Builds
AI-enabled autonomous experimentation (AI/AE) platform
Domain
Materials science, laboratory automation, artificial intelligence
Deliverable
production ML models
Required skills
Crystallization science (solubility, nucleation, polymorphs), UV/Vis spectroscopy, X-ray diffraction (XRD), automated/high-throughput lab systems, Python for data processing and AI/ML integration
Preferred skills
None stated
Technologies
Python, AI/ML tools
Responsibilities
Integrate robotic experimentation, advanced characterization, and machine learning; contribute to interdisciplinary research effort
Seniority
Postdoctoral (0-5 years post-PhD)