Engineer F/H: Implementation of the coupling between magnetic effects and oscillations in code Hawen

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Engineer F/H: Implementation of the coupling between magnetic effects and oscillations in code Hawen Sintesi in italiano (traduzione automatica): L'Inria Makutu team presso l'Università di Pau offre una posizione di Ingegnere di ricerca della durata di un anno. Il candidato selezionato svilupperà un framework computazionale per modellare l'interazione tra campi magnetici e oscillazioni d'onda nel codice Hawen, dedicato alla propagazione e inversione delle onde. Le mansioni principali includono l'implementazione, la validazione e la documentazione di nuovi sviluppi numerici, con un focus su robustezza e prestazioni su sistemi HPC moderni. È richiesta una laurea in ingegneria o un campo correlato, con competenze in metodi numerici e programmazione in Python. Il progetto si concentra su applicazioni in eliosismologia e prevede lo sviluppo di pipeline automatizzate per generare osservabili sintetici dai risultati del codice. We offer a one-year Research Engineer position within the Inria Makutu team at the University of Pau. The successful candidate will develop a computational framework to model the interaction between magnetic fields and wave oscillations in Hawen, an HPC code dedicated to wave propagation and inversion. The work will involve implementing, validating, and documenting new numerical developments, with a strong emphasis on robustness, performance, and scalability on modern high-performance computing (HPC) systems. In addition, automated pipelines will be developed to create synthetic observables from the code outputs. In this project we focus on applications to helioseismology: the Sun is composed of plasma and is modeled mathematically as a continuous electrically conducting fluid governed by the equations of magnetohydrodynamics. Applying perturbation theory and linearization to these equations yields a system describing solar oscillations in the simultaneous presence of magnetic fields, gravity, rotation, and flows. The code currently ignores the magnetic field, and its incorporation constitutes a key ingredient in understanding solar dynamo which attempts to explain the generation and transport of the magnetic field in the Sun. On a local scale, the same set of equations can be employed to model local interaction of magnetic field with acoustic waves, for instance in active regions. This has direct application in helioseismic holography for far-side imaging of the Sun, which is of great important in space-weather forecast. The objective of this project is to incorporate magnetic effects into the existing wave propagation code Hawen, which currently models wave oscillations in a variety of media. This extension will require implementing the linear induction equation and coupling it with the linear equation of motion already available in the code. The project will begin with a familiarization phase, during which the successful candidate will gain an understanding of the team's computational framework and numerical methods. They will then develop and implement the appropriate numerical strategy, validate the implementation through representative benchmark problems, and document the new developments. In the final stage of the project, the code will be used to investigate the influence of magnetic fields on solar oscillations by comparing numerical predictions with observational data. The provisional schedule is as follows: 1. Familiarization with numerical framework in Hawen (structure of the benchmarks, code parallelism, I/O), the discretization method used in the code, and the existing solar oscillation equations currently available. 2. Implement an initial strategy which consists in a zero-th order term to add in the system of equations. Indeed, when ignoring the perturbation in magnetic field, the contribution of the Lorentz force in the equation of motion can be included as a zero-th order term, which avoid an increase in the number of unknowns. This step will help the successful candidate to familiarize with the code structure. 3. Implement the full coupling between the induction equation and the oscillation equation, and compare with the strategy developed in step 2. 4. Develop automated Python routines to post-process Hawen simulations into helioseismic observables (such as power spectrum, cross-covariance), enabling a quantitative investigation of the impact of considering the magnetic field. This step also includes a familiarization with observables and data processing performed in existing Python routines to process Dopplergrams to helioseismic observable. The successful candidate is expected to develop and implement the numerical methodology, and document progress regularly through clear and detailed technical reports. The software developments will follow standard best practices, including version control, automated testing, verification and validation, comprehensive documentation, and code review. Particular attention Annuncio in inglese. Fonte: Euraxess (Commissione europea).