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Portail > Offres > Offre UMR7263-KHEBOU-015 - H/F Chercheur/Chercheuse

H/F Searcher Researcher

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

Date Limite Candidature : mercredi 8 février 2023

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General information

Reference : UMR7263-KHEBOU-015
Nombre de Postes : 1
Workplace : MARSEILLE 13
Date of publication : Wednesday, January 18, 2023
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 April 2023
Proportion of work : Full time
Remuneration : Between 2889€ and 4082€
Desired level of education : PhD
Experience required : 1 to 4 years

Missions

Contribute to establishing and leading a scientific and Indigenous advisory team for his/her research project.
Conduct a systematic literature review of adaptive ecosystem management practices (reciprocal contributions between humans and nature).
Use data science approaches to link results from the literature review to existing databases with ecological and cultural-linguistic data.
Use data science approaches to conduct a metanalysis of the review results in connection with background data available in databases, focusing on drivers of practice diversity and observed or potential impacts of these practices on ecosystems.
To work across disciplines with team members and assist on other subprojects as time permits (notably, regional scale analyses together with the project's PhD student).

The position will allow for participation in teaching and student supervision tasks.

Activities

The candidate's work for the project will be to use data science approaches and social-ecological expertise to conduct a systematic literature review and metanalysis about the drivers and impacts of adaptive ecosystem management practices (reciprocal contributions between humans and nature). The candidate will conduct research aimed at answering questions at large spatial scales: Are ecosystem adaptative management practices universal or, alternatively, what drives social-ecological patterns at various scales? How do services to ecosystems buffer against environmental degradation (biodiversity loss, land-use change)? How can services to ecosystems be mobilised to improve environmental and human health? We therefor seek a candidate with strong analytical skills as well as a background/training in ethnoecology, social-ecosystems, ecology, research or a similar field.

Skills

Evidence of ability to formulate research questions, design analyses and interpret and present results.
- Experience with systematic literature reviews.
- Knowledge on biocultural diversity and strong interest in Indigenous and local knowledge systems.
- Experience working intensively with large heterogenous databases
- Strong skills in statistical analysis of heterogenous data (preferably social and ecological), demonstrable familiarity with R statistical environment and ability to use command-line computing for batch processing.
- Skills in GIS and spatial representation of data.
- Fluent spoken and written English, linguistic competence in French and Spanish will be appreciated.
- Strong track record of bringing projects to timely completion and publication
- High flexibility and excellent social skills to work in ambitious interdisciplinary teams and with Indigenous scholars and knowledge holders.

Work Context

The announced position is part of a 5-year research project entitled “People's contributions to nature” funded by the IRD, ANR and AMU that runs from November 2022-27 within an interdisciplinary research group of ecologists and ethnoecologists. The project is supported by international researchers that complement the expertise on site. The candidate will be employed by the IRD and work in the research group of professor Irene Teixidor-Toneu at the DFME research group, IMBE. DFME studies ecosystem function at different scales, from molecules to socio-ecosystems.

“People's contributions to nature” aims to better understand Indigenous and local practices to conserve, sustainably manage, and restore ecosystems emerging from Indigenous and local knowledge systems. The research objectives are: (1) to identify the underlying drivers of ecosystem servicing technique diversity, (2) to examine their effectiveness in buffering against biodiversity loss and land-use change, and (3) to mobilise results to inform and propose innovative nature-based solutions. These objectives will be addressed at local, regional, and global scales combining methods from the social and natural sciences in collaboration with researchers at the IRD and the global south, and ILK holders.

Constraints and risks

There are no data collection fieldtrips associated with this position, but the person recruited will participate in the international research school Cross-cultural anthropological research (Yale University, summer 2023) and at least one international conference.
- Excellent English writing skills
- Interdisciplinarity between data sciences, ecology and the social-sciences
- High investment in engagement of non-academic partners

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