Postdoctoral Appointee - Artificial Intelligence Applied to Battery Diagnosis and Prognosis
UChicago Argonne(3 months ago)
About this role
A postdoctoral researcher position at Argonne National Laboratory focused on applying artificial intelligence and high-performance computing to assess and predict the state of health of electrochemical energy storage devices. Projects include work on lithium-ion, advanced lead-acid, and flow batteries with applications in long-duration energy storage and electrified aviation. The role sits in the Data Science and Learning division and involves close collaboration with domain experts across materials engineering and chemistry.
Required Skills
- Deep Learning
- Time-Series
- Image Analysis
- Machine Learning
- Python
- Software Development
- Scientific Computing
- Open Source
- Data Analysis
- Collaboration
Qualifications
- PhD in Computer Science, Materials Science, Chemistry, Physics, Mathematics, or Related Engineering Discipline (within last 3 years)
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