Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Nature Careers
- University of Nottingham
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- NTNU Norwegian University of Science and Technology
- The University of Manchester
- Aalborg University
- Technical University of Munich
- ETH Zürich
- Ecole Centrale de Lyon
- Leibniz
- Monash University
- KU LEUVEN
- Linköping University
- Newcastle University
- Technical University of Denmark
- Universidade do Minho
- University of Luxembourg
- University of Oslo
- Ariel University
- BRGM
- Inria, the French national research institute for the digital sciences
- KNAW
- Nantes Université
- Umeå University
- University of Amsterdam (UvA)
- AIT Austrian Institute of Technology
- Aalborg Universitet
- Aix-Marseille Université
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Bucharest Universty of Economic Studies
- Centrale Lille Institut
- Cranfield University
- DAAD
- Delft University of Technology (TU Delft)
- Empa
- European Magnetism Association EMA
- Hannover Medical School •
- Imperial College London
- LEM3
- Norwegian University of Life Sciences (NMBU)
- Reykjavik University
- Slovak University of Agriculture in Nitra
- Technische Universität Dortmund
- The University of Manchester;
- UCL
- Universidade de Vigo
- University of Adelaide
- University of Bergen
- University of Birmingham
- University of Newcastle
- University of Nottingham;
- University of Potsdam •
- University of Southern Denmark
- University of Tübingen
- Universität für angewandte Kunst Wien
- Uppsala universitet
- Utrecht University
- Vrije Universiteit Brussel
- cnrs
- Abertay University
- CEA
- Coventry University Group
- DENA DESARROLLOS SL
- Ecole Centrale de Nantes
- European XFEL
- Faculdade de Ciências e Tecnologia
- Fraunhofer-Gesellschaft
- Freie Universität Berlin •
- Fritz Haber Institute of the Max Planck Society, Berlin
- Fundación de investigación HM Hospitales
- Hasselt University
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- IFP Energies nouvelles (IFPEN)
- INRIA
- Institut National des Sciences Appliquées de Lyon
- Institute of Mathematics and Informatics
- Institute of Measurement Science, Slovak Academy of Sciences
- Institute of Nuclear Physics Polish Academy of Sciences
- Instituto de Telecomunicações
- Karolinska Institutet, doctoral positions
- La Trobe University
- Luleå tekniska universitet
- Lunds universitet
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Medical School Berlin
- Mid Sweden University
- Mittuniversitetet
- National Renewable Energy Laboratory NREL
- Newcastle University;
- Northeastern University London
- Purdue University
- Queensland University of Technology
- Saarland University
- Sorbonne Université, CNRS, Inserm
- Swansea University
- Tallinn University of Technology
- 90 more »
- « less
-
Field
-
and extend existing numerical codes to simulate these phenomena. Some experiments and modelling will be done in collaboration with other PhD students in the GRAIL project. Your tasks: • Simulate
-
diffusion model on circulation fields from numerical models, enabling the generation of new fields that should be as close as possible to the observational values at the observation locations while preserving
-
. The project will also delve into generation and integration of synthetic data, via deployment of numerical simulations with existing advanced calibrated multiphysics models, with real data acquired through
-
modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
-
applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
-
mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and
-
in reservoir engineering, geosciences, geotechnical engineering, or related fields. Experience in numerical modeling of flow in porous media and programming skills is highly desirable. Supervisors: Ana
-
engineering, environmental engineering, engineering geology, geography) In-depth knowledge and experience in the field of numerical modelling of gravitational natural hazard processes (e.g. with Abaqus, Plaxis
-
, stiffness loss, damage evolution, and transient creep interact under coupled loading. The project will develop temperature-dependent constitutive models informed by numerical simulation. Machine learning
-
dynamo. Project details The successful candidate will combine numerical simulations of existing and new magnetohydrodynamic (MHD) models implemented in our in-house code, with experiments using the Little