RESEARCHER for the project Genomic Informed Fisheries Assessment for Improved Management (GIFAMAN)
AZTI
Sukarrieta, Vizcaya/Bizkaia, Spain
hace 2 horas

GET TO KNOW US

AZTI is a scientific and technological centre that develops high-impact transformation projects with organisations aligned with the United Nations 2030 SDGs.

Its purpose is to drive positive change for the future of humankind, contributing to a healthy, sustainable and fair society.

Specialising in marine environment and food, it provides cutting-edge and value-added products and technologies grounded in sound science and research.

With 40 years of experience and an extensive performance history backed by more than 1,300 indexed publications, we base our excellence on our research staff, 58% of whom hold PhDs.

We also have a presence in 45 countries, three offices in the Basque Country and a team of more than 280 employees.

  • AZTI is member of the Basque Research and Technology Alliance ( BRTA ), an initiative that brings together four collaborative research and 12 technology centres, seeking to promote collaboration among them;
  • strengthen the conditions to generate and transfer knowledge to companies, contributing to their competitiveness; and to spread the Basque scientific and technological capacity.

    Summary of the project :

    Area : Marine Ecosystems Functioning

    Location : Sukarrieta (Basque Country, Spain)

    Contract type : Full time

    Starting date : January 2022 (earlier starting date also possible)

    Contract duration : 2 years

    Background : Sustainable fisheries management relies on an accurate assessment of the status of fisheries resources and on solid predictions of their fate considering also factors such as fishing pressure in the short term and climate change in the long term.

    Current assessments and future predictions of fisheries resources should be based on the best knowledge available, including information about population connectivity, genetic diversity, potential hybridization between species or populations, and potential genetic adaptation to changing conditions.

    Yet, despite high-throughput genomic techniques allow obtaining such information, currently no framework to include genetic

    data into fisheries assessment has been established. Here, we will use three demersal (white and black anglerfish and hake) and two pelagic (pilchard and mackerel) commercially important species to study population connectivity and environmental adaptation and their implication in the assessment of these resources.

    The genetic results obtained from the specific case studies will be used to simulate alternative assessment scenarios in two of the species, and to formulate a general framework for communicating and integrating genetic data into the fisheries management process.

    Objectives :

  • Resolve the population structure of Northeast Atlantic commercially exploited marine species to better delineate management units (stocks);
  • understand the impact of climate change in marine fishes by identifying genomic signatures of adaptation;
  • integrate genetic derived information of population structure and adaptation potential into the fisheries assessment process.
  • Funding : The State Research Agency (AEI) of the Ministry of Science and Innovation of Spain. (Project : PID2020-115656RB-I00) and the European Regional Development Fund (ERDF)

    Requirements :

  • PhD in a relevant discipline (biology, genetics, bioinformatics, etc.).
  • Experience in applied evolutionary studies, including phylogeography and population genetics
  • Experience in analysing high-throughput sequencing data such as RAD and low coverage Whole Genome Sequencing data
  • Good level of written and spoken English
  • Excellent writing and oral communication skills
  • Other valued skills :

  • Experience in other high-throughput sequencing applications
  • Knowledge of Unix, R, programming (python, perl )
  • Experience in field sampling
  • Experience in molecular laboratory techniques
  • Experience in fisheries management-related research
  • Result oriented working capacity
  • Availability to travel
  • Project management
  • Driving licence
  • Application :

    Prospective candidates should upload Cover letter and CV before November 1st 2021 (although we will continue evaluating candidates after that date if the position is not filled by then).

    Inquiries :

    For more information on the position, interested candidates can directly contact Naiara Rodriguez-Ezpeleta ( nrodriguez azti.es )

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