PhD scholarship in computational chemistry and machine learning for organic electrolyte stability - DTU Energy - 1593816

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PhD scholarship in computational chemistry and machine learning for organic electrolyte stability - DTU Energy

Kongens Lyngby

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We invite applications for a 3-year PhD scholarship at DTU Energy.

The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular design to develop new high-potential organic flow battery electrolytes with unprecedented stability. The computational work will be done in close collaboration with an experimental counterpart.

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Published: 04-09-2025