142 data "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Chalmers University of Technology
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How fast can energy technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group as a doctoral student and develop the data-driven methods
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Electrical engineering
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Electrical engineering
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
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. Examples of domains that are possible to study include how the materials is used by students and teachers in different context and how it effect engagement and learning. For more information about the
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Research FieldPhysicsYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
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analytical and mathematical skills, including proficiency in quantitative modeling, data analysis, and scientific computing (e.g., R, Python). Strong written and verbal communication skills in English. *for
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FieldEngineeringYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s
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experiments. Information about the department The Department of Microtechnology and Nanoscience advances the frontiers in quantum technology, nanoscience, photonics and future electronic systems
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification