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to contribute to foundational advances in physics-informed machine learning. The project is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP), and the successful candidate will join
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar* You will need strong written and verbal communication skills in English Documented experience (education/courses
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permit to study in Sweden, and the study programme requires physical presence at Mälardalen University, the university reserves the right to withdraw the admission decision if a valid residence permit is
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, energy storage, and functional polymeric systems. The position includes both research and teaching. We are particularly looking for someone who can combine traditional simulation techniques with machine
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ability. Additional requirements Very good oral and written proficiency in English. Documented research in advanced process engineering and applied computing technology, e.g. modeling, simulation
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design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
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overview You will be actively involved in several ongoing maritime risk-related projects and contribute to the development of Chalmers’ ship bridge simulators. The project aims to deliver a risk-aware