Internship: Combining Transformers and Normalizing

Il y a 2 mois

SaintMartind'Hères, France Inria Temps plein

Le descriptif de l’offre ci-dessous est en Anglais_

**Type de contrat **:Convention de stage

**Niveau de diplôme exigé **:Bac + 4 ou équivalent

**Fonction **:Stagiaire de la recherche

**A propos du centre ou de la direction fonctionnelle**:
The Centre Inria de l’Université de Grenoble groups together almost 600 people in 23 research teams and 9 research support departments.

Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE,), but also with key economic players in the area.

The Centre Inria de l’Université Grenoble Alpe is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.

**Contexte et atouts du poste**:
The length of the internship is _4 months minimum_ and the start date is flexible, but need a 2 month delay before starting the interhsip due to administrative constraints.

But there is also the possibility to pursue this internship being located at EDF R&D, Saclay, close to Paris. EDF is one fo the largest electricity supplier in Europe and their Saclay R&D EDF labs one of the largest industrial research center in France. EDF are long term collaborators actively involved in the development of Melissa and deep surrogate related investigation. EDF also brings industrial grade use-cases related to electrical machines (produced by Code_Carmel) and hydrological studies (produced by the open source code Open-Telemac).

***:
**Mission confiée**:
**Context**:
**Internship Goals**:
The goals of this internship is to investigate how effective the combination of transformer and normalizing flow architectures can be for training deep surrogates. We will consider as starting point several available architectures from the papers All-in-one simulation-based inference, Poseidon: Efficient Foundation Models for PDEs, ClimaX: A foundation model for weather and climate that will be analyzed, tested and eventually combined. For the purpose of experiments, we will integrate these models into the Melissa framework developed in our team. Melissa enables to train deep surrogates on supercomputers directly from the running simulations while they produce data. Melissa enables to train very efficiently on significantly more data that the classical offline approaches that store output data from simulations to files and then read them back for training. Melissa also simply makes it easier to train deep surrogates by combing data production and training in a unified workflow.

**Our Related Publications**:
**Principales activités**:
See above

**Compétences**:
**Avantages**:

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (90 days / year) and flexible organization of working hours
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage under conditions

**Rémunération**:
€4.35 per hour of actual presence at 1 January 2024.

About 590€ gross per month (internship allowance)

**Informations générales**:

- **Thème/Domaine**: Optimisation, apprentissage et méthodes statistiques
Calcul Scientifique (BAP E)
- **Ville**: Saint Martin d'Hères
- **Centre Inria**: Centre Inria de l'Université Grenoble Alpes
- **Date de prise de fonction souhaitée**: 2025-02-01
- **Durée de contrat**: 6 mois
- **Date limite pour postuler**: 2024-11-21

**Consignes pour postuler**:
CV + cover letter

**Sécurité défense**:
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.

**Politique de recrutement**:
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.

**Contacts**:

- **Équipe Inria**: DATAMOVE
- **Recruteur**:
**L'essentiel pour réussir**:
**A propos d'Inria**:
Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques p

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