Senior AI Materials R&D Engineer

Ampace (???) is a global battery-technology company specializing in lithium-ion cells and systems for energy storage, data centers, and critical power. Our R&D pairs advanced cell chemistry with semi-solid-state technology to deliver safe, high-performance batteries at scale. This position is based at our R&D center in Xiamen, China.

Check out the role overview below If you are confident you have got the right skills and experience, apply today.

Responsibilities:

1. Run machine-learning-based high-throughput screening and property prediction of battery materials — cathode, anode, and electrolyte.

1. Build cell-performance prediction and life-degradation models to optimize cell design parameters.

1. Combine AI algorithms with electrochemical mechanisms to build a data-driven battery R&D platform.

Requirements:

1. PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or Computational Materials Science.

1. Proficiency in Python and mainstream deep-learning frameworks (PyTorch, TensorFlow); materials-informatics or battery data-mining experience a plus.

1. Strong cross-disciplinary learning ability, logical thinking, and collaboration.

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