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Job advertisement Post-doctoral researcher in ocean ensemble modeling

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European Geosciences Union

Post-doctoral researcher in ocean ensemble modeling

Post-doctoral researcher in ocean ensemble modeling


Institut des Géosciences de l'Environnement

The Institut des Géosciences de l’Environnement (IGE) is a French public research institute under the auspices of CNRS/INSU, IRD, Université Grenoble Alpes (UGA), Grenoble-INP and INRAE. It employs around 330 people, including 190 permanent members (researchers, associate and full professors, research engineers), and around 140 PhD students, post-doctoral researchers and staff on fixed-term contracts. The Institute also welcomes dozens of interns and visiting scientists every year. The Institute is located on three sites on the Grenoble University Campus (Molière, OSUG-B and Maison Climat Planète). IGE is one of the main laboratories of the Observatoire des Sciences de l’Univers de Grenoble (OSUG), which is a federative structure of the Institut National des Sciences de l’Univers (INSU) of the Centre National de la Recherche Scientifique (CNRS).


Grenoble, France


Relevant division
Ocean Sciences (OS)


Student / Graduate / Internship

34865 - 34880 € / Year

Required education

Application deadline
Open until the position is filled

14 November 2023

Job description


This post-doctorate concerns the study of the impact of different sources of uncertainty on the physical modeling of the Mediterranean by producing and analysing ensembles of regional NEMO simulations at 1/12°. Once these ensembles have been compared with available spatial and in situ observations using probabilistic scores, they will be used to quantify the relative and cumulative impacts of these uncertainties on the simulated physics and on the amplitude and structure of ensemble dispersions.

The activities of the selected person will concern:

- getting to grips with the stochastic ensemble simulator of the Mediterranean, which is currently being developed on the basis of an existing realistic configuration of the NEMO 1/12° model;
- participating in the calibration and implementation in this configuration of stochastic sources of uncertainty, linked to initial conditions, atmospheric forcing and unresolved scales, for example;
- producing ensemble simulations including different uncertainties, and evaluating them with respect to observations;
- quantifying and characterising the oceanic impacts of these uncertainties by physical and statistical analyses of the ensembles and their inter-comparison;
- presenting these results in scientific articles and at international conferences.

This work will be based on the expertise of the host team’s researchers and engineers on NEMO, and on the methods and tools (ensemblist, stochastic, statistical, uncertainty management, comparison with observations, etc.) that have been developed over the last fifteen years as part of research projects such as OCCIPUT, IMMERSE, and SEAMLESS.


This post-doctorate is part of the MEDIATION project funded by the PPR Océan et Climat. MEDIATION is developing methods and tools allowing to perform multi-decadal projections of the physics, biogeochemistry and biology of the Channel-Biscay and Mediterranean ocean basins, explicitly taking into account various uncertainties and evolution scenarios (climate change, human activities). The numerical tools developed as part of the project are also intended to contribute to improved interaction between science, society and politics.

The successful candidate will join the MEOM team of IGE, whose research focuses on numerical oceanography, ocean/sea-ice modelling and forecasting. She or he will be working closely with Thierry Penduff, Pierre Brasseur (CNRS researchers), and Jean-Michel Brankart (CNRS research engineer), and will be interacting regularly with the other MEDIATION participants.

How to apply

To apply, please use this link (ignore the Dec 5 2023 deadline: the offer will stay valid until fulfilled).

- PhD in physical oceanography
- Experience in ocean modelling on a supercomputer
- Aptitude for teamwork
- Interest in the statistical analysis of ensemble simulations
- Interest in disseminating scientific results