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, research papers, and data-driven solutions for the energy storage and battery value chain
Domain
Energy storage, battery safety, artificial intelligence, computational science
Deliverable
production ML models | research
Required skills
Physics-based modeling, machine learning, deep learning, digital twins, high-performance computing, data analysis, experimental design
Preferred skills
Independent research leadership, academic publication, cross-disciplinary collaboration
Technologies
Machine learning frameworks, deep learning libraries, high-performance computing clusters
Responsibilities
Formulate and evaluate broad research concepts, develop new techniques and methods, analyze research results, plan and validate testing procedures, collaborate with universities and colleagues, present findings at conferences and webinars
Seniority
Post-doctoral (early career research scientist)