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data analysis python modeling multiphysics thermodynamicsπ Description
- Uphold lab safety standards and support colleagues.
- Identify key performance and durability challenges as testable hypotheses.
- Design the path to answers using multi-physics models or targeted experiments.
- Work cross-functionally with materials scientists, mechanical engineers, data scientists, and operations teams.
- Rigorously analyze results and distill findings into actionable guidance.
π― Requirements
- Deep first-principles understanding of thermodynamics, kinetics, and transport in electrochemical reactors.
- Experience influencing hardware development, material selection, or experimental strategy.
- Developed mechanism-specific accelerated stress tests or diagnostic techniques revealing critical properties or processes.
- Extracted actionable insights from large datasets that drove measurable improvements in device performance or reliability.
- Fluent with coding and statistics β building models, automating analysis, and uncertainty quantification.
- PhD in Chemical Engineering, Materials Science, Chemistry, or a related field β or equivalent hands-on electrochemical R&D.
π Benefits
- Medical, dental, and vision coverage
- Paid sick days and vacation
- Competitive salary and equity compensation commensurate with experience
- Diverse and inclusive work environment
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