Research Fellow – Multisymplectic Discretization Techniques
Eckdaten der angebotenen Stelle
Arbeitgeber | Friedrich-Alexander-Universität Erlangen-Nürnberg |
Postleitzahl | |
Ort | Erlangen |
Bundesland | Bayern |
Gepostet am | 13.11.2024 |
Remote Option? | - |
Homeoffice Option? | - |
Teilzeit? | - |
Vollzeit? | - |
Ausbildungsstelle? | - |
Praktikumsplatz? | - |
Unbefristet? | - |
Befristet? | - |
Stellenbeschreibung
Institute of Applied Dynamics (LTD) in the Department of Mechanical Engineering of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Classical Lagrangian and Hamiltonian field theories are at the core of continuum mechanics, electromagnetismand general relativity- These theories have a rich geometric structure of which multisymplecticity may provehighly valuable when performing numerical simulations-The structure of optimal control problems is analogous to that of Lagrangian and Hamiltonian mechanics andfield theories- Therefore, the numerical treatment of these, particularly when applied to mechanical and fieldtheoretical systems, may benefit from the use of structure-preserving numerical methods-In this project we will study and develop high-order multisymplectic numerical integrators for continuum systemswith and without constraints- These discretisations will be then applied in optimal control problems- Wewill also attempt to imbue structure-preserving properties to non-preserving methods using neural networks-The project will be carried out in collaboration with our partner team at ICMAT in Madrid, Spain whose expertise in geometric mechanics is well-known-
Ihre Aufgaben
DescriptionClassical Lagrangian and Hamiltonian field theories are at the core of continuum mechanics, electromagnetismand general relativity- These theories have a rich geometric structure of which multisymplecticity may provehighly valuable when performing numerical simulations-The structure of optimal control problems is analogous to that of Lagrangian and Hamiltonian mechanics andfield theories- Therefore, the numerical treatment of these, particularly when applied to mechanical and fieldtheoretical systems, may benefit from the use of structure-preserving numerical methods-In this project we will study and develop high-order multisymplectic numerical integrators for continuum systemswith and without constraints- These discretisations will be then applied in optimal control problems- Wewill also attempt to imbue structure-preserving properties to non-preserving methods using neural networks-The project will be carried out in collaboration with our partner team at ICMAT in Madrid, Spain whose expertise in geometric mechanics is well-known-
Ihr Profil
Notwendige Qualifikationen:- Highly motivated candidates with degrees in mathematics, physics, engineering, computer science, or related fields-
- Knowledge of analytical mechanics, differential geometry, numerical methods and programming-
- Good written and oral communication skills in English (German desirable)-