PostDoc in community & network ecology 80-100% (f/m/d)

Updated: 6 months ago
Job Type: FullTime
Deadline: 07 Dec 2023

15 Sep 2023
Job Information
Organisation/Company

Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Research Field

Environmental science » Ecology
Researcher Profile

Recognised Researcher (R2)
Country

Switzerland
Application Deadline

7 Dec 2023 - 22:59 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

41
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.

The Research Unit Biodiversity and Conservation Biology studies the diversity of life in its various forms, from genetic diversity to the diversity of species and ecosystems as well as their interactions. In the framework of an ERC project the Spatial Evolutionary Ecology Group is looking from early fall 2023 or up on agreement for a 2-year

PostDoc in community & network ecology 80-100% (f/m/d)


This PostDoc position is part of an ERC project (Developing the predictive ecology of plant-animal interactions across space and time), which aims to evaluate how and why interactions vary across elevation gradients and different regions (Andes, Atlantic Forest and Central America). You would analyse existing plant-hummingbird interaction data, hummingbird and plant trait data and abundance data collected across ~40 sites spread across the countries and elevations for one to eight years. Project collaborators come from a variety of countries and instutitions and the you would benefit from multiple different perspectives. You would also participate and help organize workshops to develop new ideas for use of the data. The place of work would be the Swiss Federal Research Institute WSL in Birmensdorf.


You hold a PhD degree with a solid expert knowledge in ecology and biodiversity and ideally network-ecology, or in a related field. Proven experience in statistical modelling and scripting languages (e.g. Python, R) is indispensable. Experience with large datasets Baysean statistics, as well as cluster computing is an asset. The capability to develop new ideas independently is necessary, as are very good English skills (both written and oral). You are a curious, self-reliant person who is also an excellent team worker and values cooperation. 


Please upload your complete application to Michèle Bucher, Human Resources WSL, through our webpage. Applications via email will not be considered. The application should include: 1) a cover letter with a statement about your previous research, your vision for the future and your motivation to work on this project; 2) a curriculum vitae including (if applicable) the list of publications or PhD thesis topics and abstracts; 3) copies of your academic qualifications (i.e., diplomas); and 4) names and contact information of 3 academic references. Applications will be considered until the positions are filled, but we will start evaluating applicants immediately and thus encourage submissions by mid September. Catherine Graham, email: Catherine.graham(at)wsl.ch will be happy to answer any questions or offer further information. The WSL strives to increase the proportion of women in its employment, which is why qualified women are particularly called upon to apply for this position.

Zürcherstrasse 111, CH-8903 Birmensdorf
Website
Company-Video


Requirements
Research Field
Environmental science
Years of Research Experience
4 - 10

Additional Information
Website for additional job details

https://academicpositions.com

Work Location(s)
Number of offers available
1
Company/Institute
Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Country
Switzerland
City
Uitikon
Postal Code
8903
Street
Zürcherstrasse 111

Where to apply
Website

https://academicpositions.com/ad/swiss-federal-institute-for-forest-snow-and-la…

Contact
City

Uitikon
Website

https://www.wsl.ch/en.html
Postal Code

8903

STATUS: EXPIRED

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