17 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" PhD positions at Linköping University in Sweden
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University and Lund University within the ELLIIT programme (https://elliit.se/ ) and aims to develop the next generation of intelligent sensor systems capable of providing reliable situational awareness in
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
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Expert Demonstrations and Self-Experience” (https://elliit.se/ ). As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also
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application! We are looking for a PhD student in automatic control at the Department for Electrical Engineering (ISY). Your work assignments This PhD position is part of the ELLIIT research program (https
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: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
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qualifications You have a master’s degree in electrical engineering, engineering physics, mechanical engineering, computer engineering, engineering mathematics or have completed courses with a minimum of 240
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as