Technische Universität MünchenAcronym | TUM | Homepage | http://www.tum.de/ | Country | Germany | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | Technische Universität München | Child organizations | |
Open OpportunitiesIn the context of numerical climate and weather modeling, we aim to replace the expensive function “run a high-resolution simulation and then coarse-grain” with a hybrid physics-ML model with an in-the-loop data-driven corrector, learned via a zero-th order optimization method. - Artificial Intelligence and Signal and Image Processing, Dynamical Systems, Knowledge Representation and Machine Learning
- Master Thesis
| The goal of this project is to combine physics-informed neural networks (PINNs) with Bayesian deep learning (BDL) to develop a novel neural network that is both informed about the underlying data and is capable of uncertainty estimation. - Artificial Intelligence and Signal and Image Processing, Knowledge Representation and Machine Learning
- Master Thesis
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