Question on Relevancy of Research in AI for Quantum Physics & Appearance Modeling

Hey team--I have been invited by a professor to contribute to her Lab, researching AI for Quantum Physics & Appearance Modeling and wanted to gauge thoughts on it. One of the functions I could potentially perform is:

Adapting one of the physics based classical neural networks developed in the lab using a quantum simulator. I would be advised on how to develop coding environments using that simulator, and gain experience with neural networks to solve complex many-body problems. They focus on simulating materials for a broad range of research topics. I would learn how to evaluate these systems both qualitatively and quantitatively on publicly available quantum chemistry datasets.

Does this sound like it would provide relevant, long term technical skills for quantum engineering, if there might be a better role to request playing in the lab (if so what would you suggest?), or if this might just be a distraction?

Thanks everyone!

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