Postdoctoral Position In Biodiversity Modelling, Statistical Ecology And Ai (H/F)

Universities and Institutes of France

France

October 6, 2022

Description

  • Organisation/Company: CNRS
  • Research Field: Biological sciences Environmental science
  • Researcher Profile: Recognised Researcher (R2)
  • Application Deadline: 06/10/2022 23:59 - Europe/Brussels
  • Location: France › GRENOBLE
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 35
  • Offer Starting Date: 01/11/2022
  • Eu Research Framework Programme: H2020
  • We are especially looking for someone interested in developing/testing/applying sets of statistical models including machine and deep-learning approaches to ecological data like distribution data on species functions and ecosystem services at large spatial scales (e.g., Europe). Candidates should have strong experience in big data, handling large models and HPCs. Different sources of data (GBIF, INat, TRY, GLOBI) will be jointly used, through the various developments we have been developing the last few years (ensemble modelling, trophic species distribution modelling, AI tools). Applications will also involve future climate and land use scenarios, with the IPBES Nature Future Framework. Systematic conservation planning tools would then be used to find irreplaceable and complementary areas to protect and to foster the connectivity between protected areas. The candidate will have to interact with the other partners of the projects but also with stakeholders to define biodiversity indicators and metrics of interest for them.

    In the frame of the Horizon Europe NaturaConnect project, we are looking for a highly motivated postdoc to work on biodiversity and ecosystem service modelling and scenarios. We seek a candidate with strong interests in statistical ecology, artificial intelligence and biodiversity scenarios.

    LECA (https: // leca.osug.fr) is part of the Univ. Grenoble Alpes and CNRS in France. Grenoble is set close to some of the most beautiful mountains of the Alps with excellent connections to Lyon and Geneva. LECA host a large and vibrant community of excellent scientists to interact with, several highly cited researchers, a large variety of experimental and observational cases studies (mostly in the Alps such as ORCHAMP), and several modelling tools already developed (biomod2, FATE-HD, econetwork, metanetwork, VirtualCom, EcoLottery). Working language is English and French.

    The selected candidate will join the BIOM team "Describing, understanding and predicting the spatio-temporal distribution and dynamics of biodiversity and ecosystems (BIOdiversity Monitoring), whose research objectives are to study how global changes influence biodiversity, ecosystem functioning and nature's contributions to societies. The team provides an excellent intellectual environment and infrastructure for the research project, with several postdocs and PhD students working on complementary themes.

    Eligibility criteria

    - A PhD in ecology/biodiversity/geography and/or mathematics/statistics/AI applied to ecological questions. - A good track-record of publications. - Proficient in R and Python - A good experience in analyzing large scale biodiversity data and using statistical models - Writing and communication skills - Flexibility and adaptability - Rigor and autonomy

    Web site for additional job details

    https: // emploi.cnrs.fr/Offres/CDD/UMR5553-WILTHU0-009/Default.aspx

    Required Research Experiences
  • RESEARCH FIELD
  • Biological sciences

  • YEARS OF RESEARCH EXPERIENCE
  • 1 - 4

  • RESEARCH FIELD
  • Environmental science

  • YEARS OF RESEARCH EXPERIENCE
  • 1 - 4

    Offer Requirements
  • REQUIRED EDUCATION LEVEL
  • Biological sciences: PhD or equivalent

    Environmental science: PhD or equivalent

  • REQUIRED LANGUAGES
  • FRENCH: Basic

    Contact Information
  • Organisation/Company: CNRS
  • Department: Laboratoire d'Écologie Alpine
  • Organisation Type: Public Research Institution
  • Website: https:// www-leca.ujf-grenoble.fr/
  • Country: France
  • City: GRENOBLE
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