
Vidushi Sharma (Ph.D.) is a Computational Material Scientist with domain expertise in the fields of energy storage and nanomedicine. Currently, she is a Staff Research Scientist at the IBM Almaden Research Center, San Jose, California, where she performs incisive research in the field of Energy Storage, based on next generation themes such as artificial intelligence driven discovery of new battery materials (electrolytes and electrodes), development of new artificial intelligence algorithms for complex materials (foundation models for mixtures, heterostructures and composites), and application of quantum computing in material discovery. Dr. Sharma completed her Ph.D. in Mechanical Engineering (with focus on computational material science) at New Jersey Institute of Technology (NJIT), USA. She has authored 30+ research papers, and several of her works are featured in major media outlets.
Award
IBM Research has a dedicated focus on Accelerated Discovery of Sustainable Materials, and one facet of that work is an active research effort in energy storage, particularly batteries. The work is primarily centered at IBM Research – Almaden in San Jose, CA, in collaboration with IBM’s global research team. We combine both experimental and cutting-edge computational technologies including artificial intelligence to explore, develop, and validate new, more sustainable battery materials and chemistries capable of supporting clean transportation and renewable energy infrastructure.
We’re looking for a research intern to develop advanced algorithms and mathematical frameworks for modeling dynamic complex systems, such as energy storage. The project focusses on discovering governing equations for dynamic systems, model system uncertainty and developing graph-based approaches. Ideal candidate should have experience in coding (e.g. Python), machine learning, graph-based models and data engineering. Background in differential equations, probability models and applied physics is preferred.
From June 15 to August 31, 2026 (adjustable at the discretion of the organisation)