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simulation, machine learning, battery manufacturing, electrochemical systems, materials characterization, or computational mechanics A strong publication record, preferably including at least three first
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working on these projects. Qualifications Basic qualifications Must have a PhD in thermal science and engineering, or related field, and research experience in phase-change heat transfer. Strong written
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qualifications Must have a PhD in thermal science and engineering, or related field, and experience in the thermometry and modeling. Must have strong written and verbal communication skills. Preferred
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the