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is to optimise human-technology interaction to improve the efficiency, safety and precision of maintenance processes in the mining industry. The project integrates advanced AR technology with
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PhD students. The research will be conducted in a collaborative and multidisciplinary environment, with close interaction with major industrial and research partners (e.g., Ericsson, Tele2, RISE
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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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We are offering a postdoc position in an exciting national project focusing on software security, with great opportunities for collaborations with top researchers in cybersecurity, program analysis
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will combine modern AI/LLM-based code generation with formal methods to produce software that is both fast to create and provably trustworthy. The position is part of SAFIR (Secure AI for Intelligent
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product kinetics by ion implantation of advanced nuclear fuel (Uranium Nitride). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/ ) and in
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funding has been secured through a prestigious grant from SciLifeLab, a Swedish national center for advanced research and one of Europe’s leading molecular biology laboratories, driving innovation in
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integrity, collaborate with others with multi-disciplinary backgrounds, support PhD students, have a professional approach and analyze and work with complex challenges. Preferred qualifications A doctoral
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of Mechanical Engineering, Chalmers University of Technology. This is an exciting opportunity to transfer cutting-edge methods from humanoid robotics to biomechanics and transport safety, in a collaborative and