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Looking for new challenges in theoretical and computational physics that are closely connected with the latest experimental developments? Interested in applying neuromorphic computing to tackle so far unsolvable problems in physics? Then join us as a PhD candidate focused on theory and simulations of ultrafast dynamics of magnetism far out of equilibrium.
Our main research interest is to understand the dynamics of magnetism at the shortest length and time scales, for which existing methods fail to give an adequate description. We exploit and develop both phenomenological theory and new computational methods inspired from machine learning. We apply these methods to access otherwise inaccessible regimes of magnetism and provide explanations and predictions for state-of-the-art time-resolved optical and X-ray experiments. Ultimately, our research aims to disclose new scenarios for ultrafast, ultrasmall and minimally dissipative switching of magnetism. Although fundamental in nature, our research may, in the long term, enable applications in data storage and processing that are much more energy-efficient than possible today.
As a PhD candidate you will take training courses and perform research in the above-mentioned areas, work in an international group consisting of theorists and experimentalists, publish results in leading journals, and be given the opportunity to participate in national and international schools and conferences. You will be involved in training and teaching BSc and MSc students (up to 10% of your appointment).
Fixed-term contract: You will be employed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 2.5 years (4 year contract) or 3.5 years (5 year contract).
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