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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Internship offer (Master 2) in Oceanic Turbulence

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European Geosciences Union

www.egu.eu

Internship offer (Master 2) in Oceanic Turbulence

Position
Internship offer (Master 2) in Oceanic Turbulence

Employer
Unité de Mécanique de Lille logo

Unité de Mécanique de Lille

https://uml.univ-lille.fr

Homepage: https://uml.univ-lille.fr


Location
Paris, France

Sector
Academic

Relevant divisions
Nonlinear Processes in Geosciences (NP)
Ocean Sciences (OS)

Type
Other

Level
Student / Graduate / Internship

Salary
About 4000 euros for 6 months (French internship salary)

Preferred education
Undergraduate degree

Application deadline
1 May 2025

Posted
25 October 2024

Job description

Ocean eddies on the mesoscale (O(100) km) contain most of the kinetic energy and play an essential role in ocean dynamics on climatic scales. The submesoscales (below O(10) km) are associated with smaller, faster eddies, as well as filaments and temperature fronts, and are crucial both because of the intense vertical transport (of heat and nutrients) they induce and because of their role in energy transfers.
It is possible to understand the horizontal dispersion of Lagrangian drifters observed at mesoscales using predictions from turbulence theory. At submesoscales, deviations from these predictions can provide information on the interaction between fast processes (frontal dynamics, tidal waves) and slower (geostrophic) processes, in order to better understand energy transport and transfer properties at these fine scales.
The aim of the internship is to explore the statistical properties of Lagrangian particle transport at the ocean surface using state-of-the-art realistic numerical simulations. Particular attention will be paid to the phenomenon of particle clustering induced by submesoscales, whose mechanisms are not yet fully understood. The methodology will rely on the analysis of statistical indicators of aggregation (e.g. velocity gradients) and other tools from the turbulence theory (e.g. structure functions). This will help to propose modifications of existing theory to include fast dynamical processes. The study will be based on a global numerical simulation of the ocean with its associated dataset of Lagrangian trajectories, constituting a unique database, due to the kilometric resolution in space, hourly resolution in time, and global coverage.


How to apply

Interested candidates should send their CV and a letter of motivation.