Post-Doctoral Researcher, Energy & AI - Electrochemical Safety Research Institute
Core
Conduct independent research at the intersection of energy storage, artificial intelligence, and advanced computational science to advance battery safety and performance.
Role type
Post-doctoral researcher (scientific professional in training)
Builds
Scientific knowledge and data-driven solutions for electrochemical energy storage safety
Domain
Energy storage / Battery safety / Artificial Intelligence / Computational Science
Deliverable
research
Required skills
Physics-based modeling, Machine learning / Deep learning, Digital twins, High-performance computing, Scientific principles application, Independent research execution, Data analysis
Preferred skills
Academic and applied knowledge maintenance, Cross-disciplinary collaboration, Publication and presentation skills
Technologies
Machine learning frameworks, Deep learning libraries, High-performance computing environments, Digital twin platforms
Responsibilities
Formulate and evaluate broad research concepts, Develop new techniques and methods for energy storage safety, Analyze results and support researchers on projects, Plan and design procedures to test and validate results, Collaborate with ULRI colleagues and universities, Contribute to webinars, conference presentations, and journal publications
Seniority
Post-doctoral (early career research scientist)
