27 phd-position-operations-research PhD positions at Chalmers University of Technology
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of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities) • Describe your future goals and future research focus Other documents: • Copies of bachelor and/or
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Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research
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and is implementing industry-academia partnerships through collaborative projects and strategic initiatives. About the research project The current PhD position is one out of four within the project
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the right one for you! This is a fully funded PhD position to develop micromechanical models of high-pressure die-cast aluminium, a unique opportunity for a motivated individual to work in a collaborative
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partners over the past five years. Major responsibilities Your major responsibility as a PhD student is to perform your own research as part of the research group in CAM2 Centre at Chalmers. The position
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to study turbulent ship wakes and their effects on the marine
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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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