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Key takeaways We are looking for an enthusiastic and highly motivated PhD candidate to join as soon as possible the Mathematics of Computational Science (MACS) group within the Department of Applied
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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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research programme consists of 15 PhD projects which will contribute to the development of innovative methodologies, tools and design strategies that make AM a reliable, scalable and economically viable
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processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that identifies optimal materials and AM processes based on performance, sustainability, and