PhD position 1 (65%) Urban green space structure, biodiversity, meteorological factors and climate change

Updated: 3 months ago
Deadline: The position may have been removed or expired!

22.12.2021, Wissenschaftliches Personal

StOasenWandel: Investigating the socio-ecological significance of urban green spaces under climate change.
Project background: This research project “StOasenWandel” is interested in the socio-ecological significance of small green spaces – what we call urban oases (Stadtoasen) – in our growing, increasingly warmer cities. Small green spaces can have a high overall impact in climatic, biophysical, ecological, and social-health characteristics of cities. We want to understand the structure, function and significance of urban oases so that we can create new oases and protect current valuable oases.

The research will investigate:


  • How urban oases locally support temperature regulation (e.g. via vegetation structure) and human health and wellbeing (e.g. via nature experience) in cities, particularly in the context of climate change.
  • What citizens want from their urban oases in the context of climate change and desired health benefits.

The research project is comprised of social and ecological sub-projects with 1 researcher (PhD candidate) position each. The subprojects (and researchers) will be working together closely to support an interdisciplinary understanding.


Who we are:

You will work closely with three research groups at the Technical University of Munich:

  • Professorship for Urban Productive Ecosystems (Monika Egerer)
  • Professorship for Forest and Agroforest Systems (Peter Annighöfer)
  • Chair of Forest and Environmental Policies (Michael Suda)

What we offer:


  • An innovative and lively working environment at the university and campus
  • Access to modern facilities and infrastructure at a strong research department
  • Scientific exchange, flexibility, independence and self-responsibility
  • Extensive options of vocational training (meetings, workshops, conferences)
  • A chance to receive your doctoral degree
  • TV-L E13 (65%), initially limited to 3 years

The researcher will record vegetation structure and describe green spaces in the city of Munich with terrestrial inventories and laser scans (3D point clouds), as well as collect temperature data to link these to one another.

The job will be mainly associated with the Professorship for Forest and Agroforest Systems in Freising, DE, but will be jointly supervised.

Anforderungen:

The candidate we are looking for ideally has:

  • Pronounced scientific curiosity Enthusiasm for and competence in quantitative data analysis
  • Experience with spatial 3D data and computing
  • Understanding of urban ecosystems
  • First experience modelling and relevant languages (R, Python etc.)
  • Strong interest in further developing programming skills
  • Interest in supervising and working with other students

Job requirements:

  • Excellent diploma or master’s degree in related field
  • Excellent knowledge of English
  • Pronounced scientific and writing skills are a benefit

Starting date:

01.04.2022 (part-time 65%, fixed-term for 3 years)

Interested?

Please send your application with:

(1) a 2-page letter of interest including a short outline of career goals and research experience;

(2) a detailed CV; and

(3) contact information of two referees.

Please send these documents in the form of one single pdf-file (StOase_01_surname_forename_appldoc.pdf) by Friday, 21.01.2022 to:
Prof. Dr. Peter Annighöfer; [email protected]

Questions regarding project or position?

Please contact: Prof. Annighöfer and/or Prof. Egerer or visit our webpages for more information on our research groups and the kind of work we do:
https://www3.ls.tum.de/fafsys/startseite/ and http://upe.wzw.tum.de/;
[email protected] and [email protected]


The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.


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Kontakt: [email protected]



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