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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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- Delft University of Technology (TU Delft); Published today
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Field
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both classical digital computers
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of the applied currents, leading to large parameter spaces for applications. To optimize tACS towards a technique of network stimulation in the human brain, we use computational modeling at the population level
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quantum chemistry to logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD candidate to join
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about combining computational mechanics, medical imaging, and advanced design optimization to improve people’s lives? Do you want to help shape the next generation of personalized medical implants? Join
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Engineering, Operations Research, Applied Mathematics, Computer Science, Transport Engineering or a related field or a related field; Strong skills or interest, and proven experience in: optimization
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further latency. Crucially, current MRI systems lack any form of predictive intelligence that could inform optimal configuration ahead of, or during scanning. The Computer Engineering (CE) section
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spaces for applications. To optimize tACS towards a technique of network stimulation in the human brain, we use computational modeling at the population level (neural mass models) as well as at the neuron