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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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education and research. The applicant is expected to have: A MSc or equivalent degree in Microelectronics, Computer Science, Electrical Engineering, or a similar field; Expertise in your field of study, in
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three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting
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interfacing of the sensors. The PhD candidate will work at the Integrated Devices and Systems (IDS) group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University
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three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting
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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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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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to societal developments, technology, international cooperation, new threats and vulnerabilities, etc. This leads to a need for new logistical operational concepts for land, with exploration of air and marine
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thesis within the contract period is to be expected. A PhD training program is part of the agreement and you will be enrolled in the Graduate School of the Faculty of Science and Engineering. Candidates