Senior AI Materials R&D Engineer
Ampace Corporation
United States
11 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Python (Programming Language)
Machine Learning
Tensorflow
Pytorch
Deep Learning
Information Technology
Job description
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- Run machine-learning-based high-throughput screening and property prediction of battery materials - cathode, anode, and electrolyte.
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- Build cell-performance prediction and life-degradation models to optimize cell design parameters.
Requirements
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- PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or Computational Materials Science.
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- Proficiency in Python and mainstream deep-learning frameworks (PyTorch, TensorFlow); materials-informatics or battery data-mining experience a plus.
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- Strong cross-disciplinary learning ability, logical thinking, and collaboration.
About the company
Ampace (ๆฐ่ฝๅฎ) 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.
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