Post-Doc - Linking Size Of Organisms And Particles To Carbon Export And Recycling

8 Nov 2023

Job Information

Organisation/Company

Sorbonne Université

Research Field

All

Environmental science » Other

Other

Researcher Profile

First Stage Researcher (R1)

Recognised Researcher (R2)

Established Researcher (R3)

Leading Researcher (R4)

Country

France

Application Deadline

8 Dec 2023 - 00:00 (Europe/Paris)

Type of Contract

Temporary

Job Status

Not Applicable

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Laboratoire d'Océanographie de Villefranche (LOV ; https:// lov.obs- vlfr.fr/) is located close to Nice, on the French Riviera. It belongs to one of the three marine stations of Sorbonne Université. With about 90 permanent staff, the LOV generates and analyses a large quantity of marine data, including imaging, genomic, and satellite data to study the ocean.

The COMPLEx (COMPutational PLAnkton Ecology) team gathers about fourty members studying marine plankton by collecting data with quantitative imaging instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible for producing some of the oxygen we breathe, storing the carbon we emit, feeding the fish we eat; plankton is therefore a major building block of Earth's ecosystem. COMPLEx strongly interacts with the Quantitative Imaging Platform of Villefranche (PIQv; https: // sites.google.com/view/piqv), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the Underwater Vision Profiler or the ZooScan, as well as an increase number of software packages to process and control the quality of the data generated by the instruments, sort images taxonomically (https: // ecotaxa.obs-vlfr.fr/) or store and distribute data on the abundance of marine snow particles. The team has a long experience of interactions with engineers and computer scientists, in academia and the private sector, to develop these tools.

The person hired for this position will work within the context of project CALIPSO.

Mission : The person hired for this position will work within the context of the international project CALIPSO Challenge 3 (https: // calipsovesri.org/), for a period of 24 months. The aim is to study the role of size of organisms and particles in marine carbon cycle including carbon remineralization and export.

Main activities :

Extract traits from plankton images and omics data to simplify functional groups models

Identify and calibrate relationships between physiological traits and size-carbon density in biogeochemical models

Integrate the above results in general BGC models

Extract particles characteristics (size and “composition”) from particle imaging data in ECOTAXA and ECOPART

Develop models (AI based) to map global particle size and composition at global scale

Include these particle properties in global biogeochemical models to refine carbone export and remineralization.

Other activities : The post-doc is expected to contribute to the achievement of the CALIPSO objectives at large, participate in the cross- fertilizing activities among the different challenges of the project, attend the CALIPSO regular meetings to present progress.

Supervision of personnel : No

Requirements

Research Field

All

Education Level

PhD or equivalent

Research Field

Other

Education Level

PhD or equivalent

Research Field

Environmental science » Other

Education Level

PhD or equivalent

Skills/Qualifications

Transversal knowledge required :

Basic knowledge in numerical ecology, marine biology, oceanography and/or oceanography;

Good writing skills and oral expression in english (at least B2)

Scientific rigor and curiosity

Technical skills :

Required: PhD in marine biology, marine biogeochemistry or oceanography

Required: good programming skills (preferentially in Matlab, R or Python)

Required: experience in statistical analysis, ideally in machine learning techniques

Required: publication of at least one research article in a scientific journal as first author

Optional: previous experience biogeochemical modelling

Peoples skills :

Both autonomy and teamwork abilities

Collaboration in an international context

Languages

FRENCH

Level

Good

Languages

ENGLISH

Level

Excellent

Research Field

All

Additional Information

Benefits

Contract for a minimum of 24 months.

Gross salary between ​​4375€ and 5833€ per month depending on initial diplomas and experience.

Paid vacation up to 55 days per year.

The laboratory is located in Villefranche-sur-mer, close to Nice, and has direct access to the sea.

Selection process

For more information of to apply (with a CV and cover letter), please write to [email protected].

Work Location(s)

Number of offers available

1

Company/Institute

Sorbonne Université

Country

France

City

Villefranche-sur-Mer

Postal Code

06230

Street

181 Chemin du Lazaret

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Villefranche-sur-Mer

Website

https:// www. sorbonne-universite.fr/

Street

181 Chemin du Lazaret

Postal Code

06230

STATUS: EXPIRED