Post-doctoral research position in fisheries modeling in Lorient, Bretagne, FR at IFREMER - ENGLISH

Date Posted: 7/24/2020

Job Snapshot

Job Description

Job title : Post-doctoral research position in fisheries modeling

Reference: Post Doc -2020-819/2


Duration of contract:Contrat à durée déterminée de 12 mois prolongeable 6 mois

Start date:

Deadline for applications:13/09/2020


The Institute and the recruiting departement

A pioneer in ocean science, IFREMER’s cutting-edge research is grounded in sustainable development and open science. Our vision is to advance science, expertise and innovation to:

- Protect and restore the ocean

- Sustainably use marine resources to benefit society

- Create and share ocean data, information & knowledge.

With more than 1,500 personnel spread along the French coastline in more than 20 sites, the Institute explores the 3 great oceans: the Indian, Atlantic and Pacific oceans. A leader in ocean science, IFREMER is managing the French Oceanographic Fleet and its dedicated scientists create ground-breaking technology to push the boundaries of ocean exploration and knowledge, from the abyss to the atmosphere-ocean interface.

Well-established in the international scientific community, our scientists, engineers and technicians are committed to advance knowledge about our planet’s last unexplored frontiers. They provide the science we need for informed decision-making and public policy and they transfer this knowledge and technology to businesses to fulfill public and private needs. Core to our mission is also to strengthen public awareness about the importance of understanding the ocean and its resources, and empowering future generations of leaders through education and outreach national campaigns.

Founded in 1984, IFREMER is a French public organization and its budget approximates 240 million euros. It is operating under the joint authority of the French Ministry for Higher Education, Research and Innovation, the French Ministry for the Ecological and Solidary Transition, and the French Ministry of Agriculture and Food.


General areas of responsibility

The main challenges are to contribute to changes leading to the exploitation of ecologically sustainable and socio-economically profitable fishery resources. They are part of the implementation of the ecosystem approach to fisheries in a renewed regulatory context (Marine Strategy Framework Directive, Common Fisheries Policy).

The research themes of the STH (Fisheries Science and Technology) unit revolve around three axes: improving knowledge of the biology and ecology of exploited species, the study of uses / ecosystem interactions and development of stock assessment methods in the context of the ecosystem approach to fisheries.

This position positioned within the Laboratory of Fisheries Technology and Biology (LTBH) in Lorient is in line with the objectives of the Common Fisheries Policy: while maintaining the food supply and the economic balance of the fisheries, improving the selectivity of fishing gears to reduce discards is an important and complex issue, particularly for mixed fisheries. Numerous studies have been carried out in partnership between fishing professionals and scientists and have made it possible to develop and test new devices from an operational point of view on different fleets and fishing zones around the world.


General areas of responsibility

This project aims to synthetize and compare the usual selectivity models to develop new ones that increase the estimates precision and our understanding of the underlying fish escapement processes from fishing gear.


Principal activities

  • Make a review of the existing models, identify their limits and propose improvements using case studies (selectivity data will be provided from our past projects CELSELECT and REJEMCELEC). We propose to adopt a more mechanistic approach to account for escapement processes and account for the aggregated nature of such data. The combination with other kind of data (e.g. environment, “fall-through”, video) could also be investigated.
  • In a second time, a method to infer the absolute selectivity of a tested device from both the absolute selectivity of the standard device and the relative selectivity of the two devices will be developed. A simulation approach could be used to test this method as well as to define optimal sampling protocols for future experiments.


Collaborative work environment

Internal collaborative relationship: Fisheries and Technology units of the institute

External collaborative relationship: ICES group WGTFB




Required Knowledge, skills, and characteristics


Required education and experience

Ph.D. in Statistics or applied mathematics with strong interest in marine environment and fisheries sciences


Ph.D. in Marine ecology, quantitative ecology, fisheries, natural resource management (or related fields) with strong interest and skills in data analysis and modeling approaches.

Required knowledge, skills, and characteristics


Knowledge, skills, and abilities:

  • Ability to independently carry out research
  • Data analysis and modeling
  • Experience in R or other computing language is mandatory
  • Redaction of scientific papers in english

Human qualities:

  • Organisation, autonomy and rigor
  • Teamwork
  • Ability to take initiative and communicate



Specific working conditions


Specific working conditions

Trips to participate to working groups or research conferences, opportunity to take part to at-sea experiments aboard fishing or scientific vessel.



How to apply for this position

Deadline for applications: 13/09/2020

All applications are processed exclusively via our website. Interested candidates can apply by clicking the “Apply” button.