PhD position (f/m/d) ( Institute of Zoology and Anthropology) (ID 15806)

Updated: 30 days ago

Einrichtung: Institute of Zoology and Anthropology (ID 15806)

Ansprechpartner: Prof. Dr. Stefan Scheu

Besetzungsdatum: ab sofort

Veröffentlichungsdatum: 28.09.2021


The Institute of Zoology and Anthropology, Department of Animal Ecology at the University of Göttingen is offering a

PhD position (f/m/d)
- Entgeltgruppe 13 TV-L - 65% -

Studying the sustainable future potential of Douglas-fir and silver fir admixtures in beech forests

Project background:
- Extreme weather conditions are challenging forests around the world. One way to face the challenges is to diversity the forest tree species composition to increase the future resilience of the forest stands. However, changing the species composition is always accompanied by changed ecosystem characteristics.
- This project aims to support the adaptation process of managed forests towards sustainable species compositions by investigating specific key issues of forest stability and biodiversity.
- The research project comprises 3 sub-projects with 1 PhD position each. The subprojects will be working together closely.

Who we are:
- Professorship for Forest and Agroforest Systems, Technical University of Munich (TUM), fafs.wzw.tum.de
- Terrestrial Ecology Research Group, Technical University of Munich (TUM), www.toek.wzw.tum.de
- Animal Ecology Group, University of Göttingen (UGOE), uni-goettingen.de/en/107728.html

Topic Animal Ecology Group:
Structure and functioning of soil animal communities in mixed forest stands

Job description:
The position will be associated with the Animal Ecology Group at the University of Göttingen, Germany (Prof. Stefan Scheu). The successful candidate will investigate soil animal communities of forest stands, focusing on macrofauna decomposers such as millipedes, isopods and earthworms. Based on quantitative methods for analyzing soil animals trophic niches of soil invertebrates will be investigated using stable isotope and compound-specific fatty acid analysis.

Job requirements:
- Excellent M.Sc. degree in a relevant field (e.g., ecology, zoology, conservation)
- Excellent knowledge of English
- Pronounced scientific and writing skills are a benefit

The candidate we are looking for ideally has:
- Pronounced scientific curiosity
- Enthusiasm for field and lab work
- Experience in the assessment of invertebrate taxa especially those in soil
- Experience in the analysis of animal communities
- Competence in quantitative data analysis using R
- Interest in teaching, supervising, and working with students

Starting date: 01.01.2022 (part-time 65%, fixed-term for 3 years)

Interested?
Please send your application to Prof. Dr. Stefan Scheu, sscheu@gwdg.de . Include the following information in a single PDF document (W018_03_surname_forename.pdf):
- Curriculum vitae
- Motivation letter
- Certificates of studies (if a degree is not yet completed you may also provide a document listing your current grades)
- Two references (name and contact information of two senior researchers)
- Summary of your MSc thesis

Questions regarding project or position?
Please contact Prof. Dr. Stefan Scheu, sscheu@gwdg.de
For information on the research group visit http://www.uni-goettingen.de/animal-ecology

Application closing date: 31.10.2021

The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.

Please note:
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)


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