Sort by
Refine Your Search
-
experience in machine learning and data-driven modeling. Ability to work independently as well as collaboratively in an interdisciplinary team. Excellent command of English, both written and spoken. Previous
-
, signal in-tegrity) under varying physiological and environmental conditions Conduct statistical evaluation and model validation using controlled measurements and sensing-dummy reference data Collaborate
-
the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
-
more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
-
system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical, spatial, and infrastructural constraints. The work aims to identify
-
activation and micromechanical modeling Progressive damage modeling of reinforced FRPs Mechanical characterization and fracture experiments Complete a PhD thesis at ETHZ Your profile Highly motivated and
-
of electron spectroscopy experiments Modelling of experimental data Your profile The position is immediately available for a candidate with a master's degree (or equivalent) preferably in physics, physical
-
approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
-
master level degree in chemical engineering, material science, environmental engineering or related fields with excellent grades. Good experimental capability is of high value. Good command of English is
-
and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision