48 electrical-and-computer-engineering PhD positions at University of Groningen in Netherlands
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embedded in the research programme of FEB’s Research Institute. The project will be supervised by Prof. Robert Lensink (Faculty of Economics and Business), email: b.w.lensink@rug.nl , Prof. Han Olff (Faculty
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publications, conference presentations, and ultimately a PhD thesis. The PhD thesis has to be completed within four years. Being part of a cutting-edge research programme, you will receive research training as
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), specifically within the Faculty of Science and Engineering (FSE), in the Groningen Institute for Evolutionary Life Sciences (GELIFES), and in collaboration with the interfaculty research centre BirdEyes Centre
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that values not only economic returns, but also social cohesion, ecological sustainability, and cultural diversity? The circular transition in textiles requires more than technology. It calls for new forms
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year M20 Program funded PhD position for a project on “Multi-dimensional
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to develop intensified processes for CO2 conversion into sustainable synthetic fuels via cobalt-catalysed Fischer-Tropsch Synthesis (FTS), based on advanced catalysis and reactor engineering concepts
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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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 and Engineering. The
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will design, implement, and evaluate, within the framework of Design-Based Research, a professional development programme that supports STEM instructors in using AI effectively and critically in
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation