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collaboration between the Division of Scientific Computing and the Department of Physics and Astronomy, where new methodology for simulation-based inference is developed and applied directly in realistic collider
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19 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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partners. Who we are looking for The following requirements are mandatory: A doctoral degree in mechanical engineering, mathematics, physics, computer science, or a relevant field of fluid or structural
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engineering, process engineering or a closely related field, demonstrated through publications. Experience of mass balances, flow simulation or separation and recovery techniques (e.g. distillation, membranes
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Electrification and digitalisation are among the major areas for the future
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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computational materials science and engineering or related fields, who wish to deepen their expertise in physics‑informed machine learning for materials design and work closely with industry and leading academics