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of Electrical Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and participates in numerous
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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and simulation, Railway mechanics, and Structural mechanics. About the research project The current PhD position is one out of four within the project RAM3 : “Unlocking the Potential of Recycled
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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computer science, computer engineering, electrical engineering, or another relevant field. Equivalent requirements apply to individuals with an education earned outside of Sweden, for example a 4-year bachelor's
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degree (magisterexamen) of 60 credits in computer science, computer engineering, electrical engineering, or another relevant field* You will need strong written and verbal communication skills in English
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas