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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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We invite applicants to join our team of researchers within the area of energy and environmental systems analysis focusing on the transition towards a sustainable transport sector. We are looking
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, simulation, and integration of complex energy-digital systems in the context of smart ports. As part of the prestigious Marie Skłodowska-Curie Doctoral NetworkPorts as Energy Transition Hubs (POTENT
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Autonomous cyber-physical systems (ACPS) have great potential to improve our ways of life, increasing mobility, cutting costs, and saving lives. Considering the complexity of the environments
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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collaboration within research teams focused on sustainable energy systems. The Division of Electric Power Engineering The Division of Electric Power Engineering at Chalmers conducts research across a broad
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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focused on high-throughput microanalysis to reveal how tramp elements introduced during recycling impact microstructure and properties in aluminium mega-castings. About us The PhD position is placed
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Join us for an exciting and excellent PhD journey! Everyday user behaviour may affect the environmental performance of household appliances, yet it is often overlooked in environmental assessments
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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop