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on modelling and controlling electrified industrial thermal systems under real-world conditions. The work is embedded in a collaborative research project with industrial partners, providing access to realistic
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years. Your work tasks This PhD project focuses on the design and control of energy-efficient hydraulic systems with integrated safety functionalities. The overall objective is to develop innovative
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for 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, in
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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actuation and control. Although research has demonstrated stable levitation and contact-free pumping in laboratory-scale systems, reliable design methods for realistic industrial operating conditions remain
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on designing and evaluating cognitive support interventions, working with stakeholders to co-design techniques and assess their impact through controlled studies. This suits candidates with strong user-centred
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applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in
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and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile
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, experimental, and modelling datasets related to physical oceanography, bentho-pelagic coupling, and carbon export. • Investigate the mechanisms controlling carbon export from surface waters to the deep ocean
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optimization, techno-economic assessment and model validation. The research will also examine the coordinated operation and control of Power-to-X processes, electrolysers and energy-storage systems in