Phd Position F/m Artificial Intelligence and Non-smooth Mechanics for Bridging Scales in Natural Gravitational Hazards

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

**Type de contrat**: CDD

**Niveau de diplôme exigé**: Bac + 5 ou équivalent

**Fonction**: Doctorant

**A propos du centre ou de la direction fonctionnelle**:
The Inria Grenoble research center groups together almost 600 people in 24 research teams and 7 research support departments.

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

Inria Grenoble 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**:

- TRIPOP_ (Inria Grenoble Rhône-Alpes, Laboratoire Jean Kuntzmann) team specialises in modelling, simulation, control of non-smooth dynamical systems, and data-driven modelling of complex materials.
- ECRINS_ (INRAE, IGE) team specialises in gravity-driven natural hazards, aiming to improve understanding, prediction, and management of landslides, rockfalls, snow avalanches, and debris flows through integrated research approaches.

Supervisory team:
**Mission confiée**:
Climate change intensifies gravitational hazards with increasing threats to safety and infrastructures. Traditional modelling approaches, relying on phenomenological parameterisations of the state space determined through human trial-and-error adjustments, fail to fully capture the complex, non-smooth, and multiscale rheology of granular systems. The project seeks to develop advanced physics
- and data-driven models that accurately represent granular flows and their non-smooth dynamics, aided by high-fidelity simulations and available experimental datasets.

**Principales activités**:
As a PhD researcher, you will explore and develop Artificial Intelligence methods aimed at robust and high-fidelity modelling of granular systems and flows. You will focus on developing first-principled, data-driven models and advanced numerical simulations to enhance predictive accuracy.

The interdisciplinary research will integrate AI with physics and mechanics to advance scientific understanding of gravitational natural hazards and rheology. Outcomes will contribute to advancements with impact in the scientific community and the industry.

The position also includes opportunities to engage in academic activities, such as supervising Master’s and undergraduate students.

**Compétences**:

- Background in Applied Mathematics or completed related coursework.
- Proficiency in programming (e.g., Python, C++).
- Knowledge of Machine Learning.

Highly appreciated qualifications include:

- Background in dynamics, mechanics, geomechanics, or geophysics.
- Passion for software development in computational mechanics.
- Teamwork and collaboration skills.

**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
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Complementary health insurance under conditions

**Rémunération**:
2 200 euros gross salary /month

**Informations générales**:

- **Thème/Domaine**: Optimisation, apprentissage et méthodes statistiques
- **Ville**: Montbonnot
- **Centre Inria**: Centre Inria de l'Université Grenoble Alpes
- **Date de prise de fonction souhaitée**: 2025-09-01
- **Durée de contrat**: 3 ans
- **Date limite pour postuler**: 2025-05-18

**Consignes pour postuler**:
Applications must be submitted online on the Inria website.

**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**: TRIPOP
- **Directeur de thèse**:
**L'essentiel pour réussir**:
Selection will be based on the quality of the CV and motivation letter.

**A propos d'Inria**:
Inria est l’institut nat