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-world challenges through interdisciplinary collaboration? This PhD student position offers a unique opportunity to contribute to a multidisciplinary research project that bridges the knowledge from
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Chalmers' new research initiative Ocean is seeking a highly motivated PhD student in environmental analytical chemistry and machine learning. In this role, you will work with high-frequency
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the following: To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in in Biotechnology, Material Science, Polymer Technology or similar
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Are you passionate about mathematics and looking to embark on a journey of discovery? The Division of Algebra and Geometry is seeking a highly motivated PhD student to join our team. We seek a PhD
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the following qualifications: To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in physics, astronomy or related fields when starting
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Engineering . Each student will be posted in an appropriate division with Chalmers University of Technology as the employer. The appointed candidates will join a large student body comprising over 140 PhD
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the following qualifications: To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in engineering (e.g., mechanical, biomedical, or electrical
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real-world impact. We work across domains such as healthcare, automotive, and manufacturing, using multimodal data and foundation models. The team includes PhD students, postdocs, and industry
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Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking PhD students to work
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Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a