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will also be part of the Neural Control Project, which is a collaboration between Maastricht University and Radboud University. You will work closely with leading researchers in machine learning
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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! We are inviting applications for a 4-year full-time PhD position as part of the SCOPE project—Shelf-life Control, Optimized Pricing, and Excess Redistribution—a collaboration between the Operations
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Organisation Job description A fully funded PhD position in the broad field of systems and control is available at the University of Groningen, the Netherlands. The specific subject of the project
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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measurements of key organics, plus culture experiments, to uncover the biochemical pathways and environmental controls on methane formation and oxidation. Your job This work will enhance our understanding
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Engineering Laboratory, we develop model-based methods for designing and controlling ultra-precise systems. Building on the Dutch design principles legacy of van den Hoek, Koster, and Soemers, we specialize in
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; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is a talented engineer with a Master's degree and has
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. Please note: a good command of the Dutch language is an essential requirement for this role. Your tasks and responsibilities as a Research Assistant in Product Quality include: Organising and conducting
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
with antennas, evaluate different algorithms for EM field strength data, investigating the minimal needed sensors (up to nine), and controlling the equipment using in-line measured data (closed-loop