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PhD Student in Artificial Intelligence-Based Flow Control for Hydropower Linkoping Reference number IEI-2026-00485 We have the power of over 50,000 students and co-workers. Students who provide hope
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Göttingen, Niedersachsen | Germany | about 2 months ago
, and how desired flow states can be selected and stabilized using simple and physically interpretable control strategies. The PhD project combines direct numerical simulations of turbulent flows
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well as new information services including data sensing, information flow and processing, and associated information decisions with computational intelligence and control. The increasing size and
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more robust and efficient. You will explore how flow-based crystallizers can improve control of crystal quality, purity, particle size distribution to interface with downstream handling by filtration and
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is recognized as essential for membrane unit operations. By optimizing feed spacers and membrane housing geometries, it enables better flow control, reduced internal concentration polarization, and
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Mechanics, Flight & Flow Control Dynamics, Avionics Navigation & Control, Space Sciences Engineering and Modelling & Simulation. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MPhil
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mechanical design, 3D printing, control systems and integration with a fluorescence microscope. Run chemotaxis and conjugation experiments with bacterial donors and recipients of plasmids and a range of
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that control immune cell activation, differentiation, and pathogenic function Perform multi-parameter flow cytometry, intracellular cytokine staining, ELISAs, and T cell–dendritic cell co-culture
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Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization
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. The research work will have a cross-disciplinary nature and will involve a range of techniques including high-throughput testing on microbial cultures using automation, operation of bioreactors, flow