Job description
The main objective of the PhD project is to develop methodology for hybrid digital twins of complex industrial systems enabling to combine the learning capabilities of machine learning algorithms with the interpretability and extrapolation abilities of physics-based approaches. Limited teaching responsibilities are also included in this position. We expect the candidate to be self-driven with strong problem solving abilities and out-of-the-box thinking.
Your profile
We are looking for a PhD with a strong analytical background, and an outstanding MSc degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a related field. The candidate should be proficient in machine learning, deep learning, signal processing, statistics and learning theory. Experience in graph neural networks is beneficial. Professional command of English (both written and spoken) is mandatory.
25-03-2024
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