44 phd-in-computer-vision-and-machine-learning PhD positions at University of Groningen in Netherlands
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in or around the top 100 on several influential ranking lists. Currently approximately 34,000 students are enrolled and about 1,500 PhD students work on their theses. It has a highly international
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be
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. The PhD position is embedded in the research programme Organizational Behaviour of FEB’s Research Institute. The project will be supervised by Prof. Gerben van der Vegt, Dr Stefan Berger, and Dr Joost van
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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score of at least 237 on the computer-based form of the Test of English as a Foreign Language (TOEFL); or A score of at least 92 on the internet-based test of the Test of English as a Foreign Language
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completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be enrolled in the Graduate School of Science
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on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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This fully funded PhD at the University of Groningen (NL) is part of the research project Critical language and multimodal awareness (CLMA): a key competency for future-oriented graduates