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. Job requirements We look forward to dynamic candidates that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (aerospace engineering
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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slurries, improve our understanding of blood flow, and support the development of sustainable manufacturing processes. This PhD position is part of the ERC Advanced Grant project IDeS and you will join a
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PhD Position on Predictive Plant–Microbiome–Pathogen Interactions Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 1 October 2026
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technology be designed and evaluated so that it is usable, acceptable and aligned with users’ communication preferences and everyday lives? Your role Your PhD will primarily focus on computer vision and
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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sources, optical metrology, microscopy, and wavebased information processing. This project is part of the CHAIN consortium. CHAIN (Coherent Algorith-based Imaging of Nanostructures) brings together experts
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engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow measurement techniques and PIV. Familiarity with optics, lasers, image
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29 Jul 2026 Job Information Organisation/Company University Medical Centre Groningen (UMCG) Research Field Computer science » Programming Engineering » Biomedical engineering Engineering