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Opening for a new job
I am looking for a postdoctoral/researcher position in the field of atomistic simulations (DFT/MD) and machine learning applications in computational materials science.
One of my ongoing projects focuses on developing a machine learning interatomic potential for 2D materials using Graph Neural Networks. To support this project, I have developed ALFF: Active Learning Framework for generating Graph Neural Network Forcefields, a package that seamlessly implements the state-of-the-art GraphNN-based forcefield models (e.g., MACE, SevenNet, ...), and easily implements DeepNN-based forcefield models.
I would greatly appreciate any information regarding open positions in related fields.