M/F Post-doc ocean modelling

Unist; Paris; Ibrido; EUR 45.000 - 60.000; Tempo pieno

Descrizione del lavoro

LOCEAN (Laboratory of Oceanography and Climate: Experiments and Numerical Approaches) in Paris invites applications for a research position within the MOBIM project. The successful candidate will study how mesoscale turbulence representations affect ocean ventilation and biogeochemical cycles using global NEMO simulations at 1° and beyond.

You will compare parameterisations (GEOMETRIC vs Gent–McWilliams), implement diagnostics for O2, DIC, and nutrients, and contribute to higher-resolution and

Competenze

• PhD in oceanography, climate science, or a related field.
• Strong background in physical oceanography and/or marine biogeochemistry.
• Experience in analysing numerical ocean or climate model simulations.
• Proficiency in Python and scientific data processing.
• Experience with the NEMO model and/or ocean biogeochemical models is a plus.
• Knowledge of mesoscale processes, ocean ventilation, oxygen and carbon cycles appreciated.
• Ability to work independently and in an international team.
• Good command of written and spoken scientific English.

Mansioni

• Analyse global NEMO simulations at 1° resolution.
• Compare representations of mesoscale turbulence: GEOMETRIC vs Gent–McWilliams.
• Quantify impact on ventilation, O2, DIC and nutrients (mean and variability).
• Implement and analyse biogeochemical diagnostics (O2, DIC, nutrients, air-sea fluxes).
• Contribute to higher-resolution and coupled simulations planned within the project.
• Collaborate with French and HKUST teams; disseminate results via publications and conferences.

Formazione

PhD in oceanography, climate science, or a related field

Strumenti

Python

NEMO model

Ocean biogeochemical models

Descrizione del lavoro

Organisation/Company CNRS Department Laboratoire d'océanographie et du climat : expérimentations et approches numériques Research Field Environmental science Environmental science » Earth science Environmental science » Global change Researcher Profile Recognised Researcher (R2) Application Deadline 27 Nov 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

As part of the French-Hong Kong ANR project MOBIM (Modelling the Ocean's Breath: Improving Mesoscale Representation for Biogeochemical Cycles), the successful candidate will investigate the impact of the representation of ocean mesoscale turbulence on ocean ventilation and the oxygen and carbon cycles.
They will analyse a set of global simulations performed with the NEMO model using different parameterisations of mesoscale turbulence, in order to assess their effects on the mean state and decadal variability of ocean circulation and biogeochemistry, with a particular focus on the Southern Ocean.

Analyse the global NEMO simulations performed within the project, initially at 1° resolution.
Compare different representations of mesoscale turbulence, in particular the GEOMETRIC parameterisation and the standard Gent-McWilliams parameterisation.
Quantify their impact on ocean ventilation, dissolved oxygen and anthropogenic carbon, in terms of both mean state and variability.
Implement and analyse biogeochemical diagnostics, including O₂, DIC and nutrient distributions, air-sea fluxes, chlorophyll, and ventilation of intermediate waters.
Contribute to the analysis of the higher-resolution and coupled simulations planned within the project.
Work closely with the French and Hong Kong teams involved in the project and contribute to the dissemination of results through scientific publications and conference presentations.

The position will be based at LOCEAN (Laboratory of Oceanography and Climate: Experiments and Numerical Approaches) in Paris, within Marina Lévy's research team.
The position is part of the ANR-RGC MOBIM project, a collaboration between CNRS/Sorbonne University and the Hong Kong University of Science and Technology (HKUST), coordinated by Marina Lévy in France and Julian Mak in Hong Kong. The project brings together experts in physical and biogeochemical ocean modelling and uses the NEMO community ocean model.
The successful candidate will work closely with project members in France and Hong Kong. Scientific exchanges and research visits to Hong Kong may be organised as part of the project.

PhD in oceanography, climate science, or a related field.
Strong background in physical oceanography and/or marine biogeochemistry.
Experience in analysing numerical ocean or climate model simulations.
Proficiency in scientific data processing and analysis tools, particularly Python.
Experience with the NEMO model and/or ocean biogeochemical models would be an asset.
Knowledge of mesoscale processes, ocean ventilation, and oxygen and carbon cycles would be appreciated.
Ability to work independently and collaboratively within an international team.
Good command of written and spoken scientific English.