2-year postdoctoral position in shellfish ecophysiology and numerical ecologyExternal

News Overview

Contact: Pierre Gernez
E-mail: pierre.gernez [at] univ-nantes.fr
website: Role information
Deadline: January 31, 2017

The University of Nantes are seeking a postdoctoral research fellow with experience in shellfish ecophysiology and numerical ecology to join the European H2020 funded project TAPAS (Tools for Assessment and Planning of Aquaculture Sustainability). The TAPAS project (http://tapas-h2020.eu/), led by the University of Stirling, will create cost-efficient management tools and practices for the European aquaculture sector to investigate the limits to fish and shellfish farming activities in location, social interactions, potential environmental impacts and any future risks. The main objective of the postdoc will be to couple bivalve ecophysiological models with EO data to analyse the potential of off-shore shellfish farming over a wide range of spatial scales, from a single mudflat ecosystem case study to the whole European western coastal ocean.

The candidate should have a solid background and a good publications record in numerical ecology, shellfish ecophysiology and coastal oceanography. Large datasets from EO and ERSEM will be coupled with DEB oyster and mussel models, and the candidate should show a keen interest and demonstrate efficiency in the processing, analysis and interpretation of large-scale environmental and biological time-series data. Previous experience in the processing of satellite data would be appreciated. Experience in DEB modelling of marine species is required. Working experience in inter-disciplinary teams is strongly desirable. The successful applicant will work at the University of Nantes (France) under the direction of Pierre Gernez (http://www.univ-nantes.fr/gernez-p) and Laurent Barillé (http://www.univnantes.fr/barille-l) in collaborations with other participants of the TAPAS project including scientists from the University of Stirling, DHI, and Plymouth Marine Laboratory (PML).