Postdoctoral Appointee - Artificial Intelligence Applied to Battery Diagnosis and Prognosis jobs in United States
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Argonne National Laboratory · 1 day ago

Postdoctoral Appointee - Artificial Intelligence Applied to Battery Diagnosis and Prognosis

Argonne National Laboratory is seeking a knowledgeable and creative Postdoctoral Appointee to work on artificial intelligence applied to battery diagnosis and prognosis. The successful candidate will design and implement techniques for evaluating and predicting the state of health of electrochemical energy storage devices, collaborating closely with domain experts.

EnergySecuritySocial Impact
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Culture & Values
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Responsibilities

Design and implement new techniques for the diagnosis and prognosis of electrochemical energy storage systems
Collaborate with domain experts to leverage emerging computing techniques to solve pressing challenges in energy storage
Contribute to large-team scientific projects in materials engineering, chemistry, and beyond

Qualification

Deep learning techniquesMachine learningPython programmingElectrochemical modelingAnalyzing large data setsScientific productivityEffective communicationCollaboration skills

Required

Recently completed PhD (within the last 3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines
Knowledge of deep learning techniques for time-series and image data
Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems
Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
Good scientific productivity, as demonstrated by publications and conference presentations
Effective oral and written communication skills
Ability to collaborate with domain subject matter experts professionally and productively
Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork

Preferred

Expertise in physics-based modeling, ideally electrochemical modeling
Effective oral and written communication skills
Experience with analyzing large and/or complex data sets

Benefits

Comprehensive benefits are part of the total rewards package.

Company

Argonne National Laboratory

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Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.

Funding

Current Stage
Late Stage
Total Funding
$41.4M
Key Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant

Leadership Team

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Raeanna Sharp- Geiger
COO
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Paul Kearns
Laboratory Director
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Recent News

Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
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