En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR5553-WILTHU0-009 - Postdoc en modélisation de la biodiversité, écologie statistique et IA (H/F)

Postdoctoral position in biodiversity modelling, statistical ecology and AI (H/F)

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : jeudi 6 octobre 2022

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

General information

Reference : UMR5553-WILTHU0-009
Workplace : GRENOBLE
Date of publication : Thursday, September 15, 2022
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 November 2022
Proportion of work : Full time
Remuneration : Between 3 224 et 3 963 € per month, tax included, upon expérience
Desired level of education : PhD
Experience required : 1 to 4 years

Missions

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.

Activities

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.

Skills

- 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

Work Context

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.

We talk about it on Twitter!