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Researcher in Uncertainty-Aware Deep Learning for Parametric PDEs Modeling
hace 2 meses
We are seeking a highly motivated researcher to join our team at the University of Pavia - Department of Electrical, Computer and Biomedical Engineering. The successful candidate will work on a project focused on uncertainty-aware deep learning for parametric PDEs modeling of tumor growth and road traffic characterization.
Research Topic:The researcher will investigate the impact of different methodologies to incorporate physics- and domain-expertise on the epistemic uncertainty of neural networks. The goal is to align the knowledge modeled by a neural network with explanations verified or produced by experts.
Expected Outcomes:- Physics-aware neural network algorithm with quantifiable uncertainty propagation
- Active learning strategies that leverage expert knowledge to reduce the uncertainty in the proposed neural network model
- Methods to align the knowledge of the neural network with external expert annotation
- At the time of recruitment, the researcher must not have resided or carried out his/her main activity in Spain for more than 12 months in the 36 months immediately before the recruitment date
- The candidate must be a doctoral candidate and not already in possession of a doctoral degree
- The candidate must agree to work exclusively for the action
- Full-time contract
- Duration: 36 months, including 2 secondments at other consortium members' premises
- Estimated starting date: September 1st, 2024 (at the latest)
- Salary: The gross salary amounts to €28,000 (estimated) per year
