11 control-network Postdoctoral positions at Chalmers University of Technology in Sweden
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We are looking for a postdoc to join our team at the Division of Engineering Materials at Chalmers University of Technology . The research will focus on the use of magnetic fields to control
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, diversity, and gender equality, supported through networking and mentoring activities. A friendly and inclusive working atmosphere, both within the research group and across Chalmers. About the research
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, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University
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Join a young team with a strong national and international network in the field of the rapidly expanding area of metal additive manufacturing at Chalmers University of Technology ! This postdoc
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of managing reverse logistics for returned products, and the potential disruptions to existing distribution networks. About us and the research project The division of Supply & Operations Management (SOM
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To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than five years prior to the application deadline. PhD in business, engineering, or related field Good command of spoken
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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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to develop a more sustainable and energy efficient method for recycling carbon fibre composites. The approach uses alternating magnetic fields to heat the material in a controlled way, breaking down
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network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers
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Agency for Government Employers). Previous experience and expertise in any of the following areas is meritious: stochastic analysis, interacting particle systems, large deviations, stochastic control