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7th February 2025 Languages English Norsk Bokmål English English PhD Fellowship in Statistical Physics and Machine learning modelling for battery materials Apply for this job See advertisement Job
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create statistically significant data. Use the measurement data to improve digital models of the structure and the load process for relevant excitation, such as traffic and wind. Explore machine learning
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medical applications, fluid-solid interactions and flow in chemical and process engineering disciplines, as well as basic research within control theory, and nonlinear dynamics, including the mechanics
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contribute to the academic communities at both UiS and SDU, maintaining a significant physical presence at each institution. Additionally, the appointee must be prepared to travel within and across
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hiring process on our website. UiS has an Acquisition of Rights Agreement for the purpose of securing rights to intellectual property created by its employees, including research results. It is a
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candidates. More about the hiring process on our website. The appointee will be based at the University of Stavanger, with the exception of a stay abroad at a relevant centre of research. It is a prerequisite
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applicants will be invited to an interview before any recommendations are made. References will also be obtained for relevant candidates. More about the hiring process on our website. The appointee will be
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to contact Associate Professor Carlo Knotz, tel: +47 51831628 email: carlo.knotz@uis.no For questions regarding the application process, please contact HR Advisor Janne V. Endresen, tel: +47 51831216, email
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hiring process on our website. The appointee will be based at the University of Stavanger, with the exception of a stay abroad at a relevant centre of research. It is a prerequisite that you have a
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applied and experimental physics, materials science, mechanical engineering, chemical engineering or similar. The candidate should have: Strong experimental background within fluids and/or materials