Postdoctoral Research Associate in Physical Oceanography

European Geosciences Union e.V.; Wimereux; Sur place; EUR 35 000 - 50 000; Plein temps

Résumé du poste

A leading research institute in geosciences is seeking a Postdoctoral Research Associate in Physical Oceanography. The role involves analyzing marine remote sensing satellite data to detect environmental disasters and utilizing machine-learning techniques. Candidates should possess a PhD and be under 35 years old by the end of 2025. The position is full-time, based in Wimereux, France, starting in January 2026.

Qualifications

• PhD holder under 35 years old by the end of 2025.
• Expert in physical oceanography and remote sensing methods.
• Experience with marine data analysis and machine learning.

Responsabilités

• Detect and track marine environment disasters using satellite data.
• Characterize the spatial shape of environmental disasters.
• Extract ocean surface velocity fields using machine learning methods.

Connaissances

Machine Learning Techniques

Statistical Analysis

Remote Sensing Data Analysis

Fluent English

Formation

PhD in Physical Oceanography, Fluid Mechanics or Remote Sensing

Outils

CFOSAT

Sentinel

SWOT

Description du poste

Postdoctoral Research Associate in Physical Oceanography

Employer

The host institution will be the Laboratory of Oceanology and Geosciences, Wimereux and Lille, France

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

Type

Full time

Level

Experienced

Required education

PhD

30 September 2025

Posted

24 July 2025

Post -doc position entitled “Multiscale analysis of marine remote sensing satellite data”

The objectives of this project will be to use environmental satellite data ( CFOSAT , Sentinel, SWOT ) for two objectives. The first objective will be to detect and track marine environment disasters, such as macroalgae blooms, and to characterize their spatial shape using tools from statistical physics (e.g. power spectral analysis, scaling, and multifractal methods). The second objective is to use a Machine-Learning-Based optical flow method to extract ocean surface velocity fields from passive turbulence remote sensing data obtained from a geostationary satellite (e.g. chlorophyll, salinity or temperature fields). This technique will be validated using data from an ocean model and compared with reconstructions from the SWOT satellite.

The project is funded by Dragon 6, a collaboration between ESA (European Space Agency) and China ( MOST – Ministry of Science and Technology), project title “Monitoring of marine dynamics and marine environment disasters with multiple satellites data”.

Work conditions:
The host institution will be the Laboratory of Oceanology and Geosciences, Wimereux and Lille, France http://log.cnrs.fr

Duration of the post-doc: 12 months, with a start date expected in January 2026

How to apply

Conditions to apply:
- Be less than 35 years old at the end of 2025
- Possess a PhD in physical oceanography, fluid mechanics or remote sensing
- Hold the nationality of an ESA member state (Austria, Belgium, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden, Switzerland or the United Kingdom)

How to apply:
Send a full CV and a motivation letter to all 3 supervisors before 30 September 2025