Postdoctoral position for conducting a meta-analyses to understand the role of soil biodiversity in forest resilience


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The Basque Centre for Climate Change (BC3), is looking for a post-doctoral researcher interested in the intersection between soil ecology, forest management, and land surface modeling. The overarching objective of the position is to understand the role of soil biodiversity in the resilience of the soil system and in the stability of forest systems. The position will be based at the Department of Terrestrial Ecology and is available for a fixed-term period of 24 months starting on June 1st 2021.

The scientific work will be focused on a literature and database survey on the relationships between soil resilience, biodiversity of soil mesofauna and macrofauna, natural disturbances and forest management. Subsequently, the data obtained from these surveys need to be processed by means of formal meta-analytical statistical techniques with an aim to establish general patterns (or the lack of) of the role of soil biodiversity in soil resilience to natural disturbances. The meta-analysis has a dual aim: enhance understanding of the soil biota in ecosystem resilience and use these relationships to improve the KEYLINK and ORCHIDEE models. The successful candidate will work in close collaboration with KEYLINK and ORCHIDEE modelers to ensure that meta-analysis can be used to this aim. This position does not include the modelling work itself.

The position will be supervised by Jorge Curiel Yuste. The successful candidate will be based at BC3 but will be working in a highly multidisciplinary and transnational research environment in close collaboration with Bertrand Guenet (F), Kim Naudts (NL) and Sebastiaan Luyssaert (NL) as part of the H2020 Holisoils project.

Experience/skills required:

Given the interdisciplinary nature of the research we are seeking for a resilient individual with a PhD in for example soil science, soil biology, ecology, forest science, vegetation and soil dynamics or disturbance ecology to mention a few. However, a broad interest in natural sciences more specifically terrestrial ecology is essential. Rather than for a specific training, we are looking for a candidate who is able to demonstrate his/her ability to build a database and conduct a quantitative literature review (meta-analysis) to enhance process understanding. The candidate is expected to have experience with peer review publication and presenting her/his results to an interdisciplinary audience. Hence, good communication skills, as well as ability to work as a part of multidisciplinary and transnational research group are required. In practice, success in the position requires excellent skills in analyzing research data (e.g. R, Python) and ability for independent scientific work proven by a good publication record.  A demonstrated ability to communicate in English is also required.

 

Term of contract

The position will be for a period of 24 months.

Salary

The position will carry competitive salary, matching the academic and professional profile of the applicant, and excellent work conditions.

Location

Basque Centre for Climate Change, Bilbao, Spain.

As a HR Excellence awarded institution, BC3 is committed to conciliate research-academic requirements and family duties. BC3 is particularly concerned with creating equality opportunities for people. Women with relevant qualifications are therefore strongly encouraged to apply for the position.

Application procedure:

Those interested should include in their request:

  1. A curriculum vitae,
  2. Statement of motivation with a short description (½ page) of a recent scientific problem you successfully solved, and
  3. Names, addresses, phone numbers, and email addresses of at least two references.

Deadline

5th May 2021 (CET 17:00).

 

Informal enquiries can be made to Jorge Curiel Yuste (jorge.curiel@bc3research.org) noting in the subject of the message “POSTDOC-HOLISOIL”

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María de Maeztu Excellence Unit 2023-2027 Ref. CEX2021-001201-M, funded by MCIN/AEI /10.13039/501100011033

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