2 Oct 2026
Job Information
- Organisation/Company: Inria, the French national research institute for the digital sciences
Offer Description
The Odyssey team is offering a 6 month engineer position on ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a recently created team involving researchers from Inria (Rennes, France), Ifremer (Brest) and IMT Atlantique (Brest).
Inria is one of the leading research institute in Computer Sciences in France, and Odyssey is also affiliated to the mathematics research institute of the Rennes University (IRMAR).
The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and machine learning.
Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models.
For accurate climatic predictions, it is essential to have plausible forecasts of the future ocean state. Ideally, high-resolution ocean simulations would be used for this purpose. However, due to their associated computational costs, this approach is currently infeasible, and we must rely only on large-scale ocean representations.
To address this challenge and the urgent need to generate various likely scenarios, there has been a growing interest in geophysical sciences and climate studies in developing flow models that incorporate noise to account for modelling uncertainties or errors.
The introduction of noise into ocean dynamics models must be done on a theoretically rigorous ground. Ad-hoc choices for model noise can fundamentally disrupt the corresponding fluid dynamics models, leading to unrealistic properties. Rigorously justified methodologies for deriving stochastic dynamics models have been recently introduced in the Odyssey team within the ERC STUOD and a longstanding collaboration with Imperial College and Ifremer.
The theoretical framework on which we rely, referred to as "modelling under location uncertainty", decomposes the flow in terms of a resolved smooth component and a rapidly oscillating random component. The stochastic dynamics is then defined from a stochastic representation of the Reynolds transport theorem. From this modelling principle, stochastic equivalents of the classical geophysical flow models can be defined.
The present engineer position aims to assess numerically coupled stochastic variational models proposed recently.
Originally proposed for the Euler equations by A. Debussche and E. Mémin for the incompressible Euler equation, the formalism has been very recently extended to oceanic flow models. The objective will consist in implementing such systems in idealized situations.
The engineer position will take place in the Odyssey group in Rennes, and will collaborate with Arnaud Debussche and Etienne Mémin.
Where to apply
Website: https://jobs.inria.fr/public/classic/en/offres/2026-10561
Requirements
Skills/Qualifications
The candidate should have a solid background in applied mathematics and in fluid dynamics dynamics. He/She should have knowledge on stochastic parameterization. She/he must have a good knowledge of Fortran, Python, Pytorch.
Specific Requirements
The candidate will work within an international collaboration. This will include in particular regular meetings and the writing of short regular reports on the advance oh his/her his work. She/he must be fluent in english.
Languages: FRENCH
Level: Basic
Languages: ENGLISH
Level: Good
Additional Information
Benefits
- Subsidized meals
- Partial reimbursement of public transport costs
- Possibility of teleworking (90 days per year) and flexible organization of working hours
- Partial payment of insurance costs
Starting from €2,695 gross per month, based on your experience
Selection process
Please submit online: your resume, cover letter and letters of recommendation eventually
Website for additional job details: https://jobs.inria.fr/public/classic/en/offres/2026-10561
Work Location(s)
- Number of offers available: 1
- Company/Institute: Inria
- Country: France
- City: Rennes
Contact
- City: LE CHESNAY CEDEX
- Website: http://www.inria.fr
- Street: Domaine de Voluceau - Rocquencourt
- Postal Code: 78153