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Field
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Criteria A MSc degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field; Strong knowledge of and experienced with statistics, machine learning, and stochastic
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines. The successful candidate will
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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related (e.g., neurolinguistics, speech therapy, psychology), experience with neuroimaging or willingness to learn (i.e., navigated Transcranial Magnetic Stimulation, Direct Electrical Stimulation), and
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be continued. The PhD candidate will be recommended to teach (0.1 fte) during their fourth year of their appointment. Supervision of MA and MSc thesis related to the PhD project may be suggested one