Doctoral position 1 (TV-L E13 - 65%) Forest structures and retrospective increment and drought stress analysis

Professur für Wald- und Agroforstsysteme

Beschreibung: 

Efficient forest mixtures of future-oriented tree species to improve water balance - Complementarity vs. Competition (ComCom)

Project background:
The research activity focuses on promising tree species mixtures whose water balance efficiencies and drought stress tolerances will be analyzed and quantified. The acquired knowledge contributes to the improvement of the water balance of forest ecosystems and the adaptation of forests to climate change. Thus, the project directly serves risk minimization, ecological stability, biodiversity as well as sustainability of forest systems. The research will investigate:

  • Forest system interactions dominated by oak, beech, pine and Douglas fir
  • Forest structures between mixtures and monocultures (laser scanning data)
  • Growth increment and drought stress (core samples, stable isotopes)
  • Water use and drought stress responses (xylem sap flow)
  • Hydraulic redistribution effects in different forest stands

The research project is comprised of field-based sub-projects with 1 researcher (PhD candidate) each, and a sub-project with 1 Postdoc. The researchers will be working together closely as ComCom research group.

Who we are:
You will work closely with two research groups:

  • Professorship for Forest and Agroforest Systems, Technical University of Munich
  • Professorship for Land Surface-Atmosphere Interactions, AG Ecophysiology of Plants, Technical University of Munich

What we offer:

  • An innovative 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 a doctoral degree and deepen your scientific skills.
  • 1 x TV-L E13 (100%), 2 x TV-L E13 (65%), initially limited to 3 years.

Topic:
Forest structures and retrospective increment and drought stress analysis

Job description:
The researcher will record forest structure and individual tree growth with terrestrial inventories and laser scans, as well as tree increment cores and link these to one another. This will require extensive field and lab work. The position 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, competence in quantitative data analysis
  • Experience and programming skills with spatial 3D data and computing
  • Understanding of forest ecosystems
  • Experience with modelling and relevant computer languages (R, Python etc.)

Job requirements:

  • Excellent diploma or master’s degree in related field
  • German-speaking with very good knowledge of English
  • Pronounced scientific and writing skills are a benefit
  • Driving license valid for Germany
  • High level of self-organization and ability to work in the forest

Starting date:
01.03.2022 (part-time 65%, fixed-term for 3 years)

Interested?
Please send your application including:
(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 (ComCom_01_surname_appldoc.pdf) by Sunday, 23.01.2022 to:
Prof. Dr. Peter Annighöfer; peter.annighoefer@tum.de  

Questions regarding project or position?
Please contact: Prof. Annighöfer and/or Prof. Grams or visit our webpages for more information on our research groups and the kind of work we do.

Application closing date:
Sunday, 23.01.2022

Bewerbungsschluss: 
23.01.2022
Anbieter: 
Professur für Wald- und Agroforstsysteme
Hans-Carl-von-Carlowitz-Platz 2
85354 Freising
Deutschland
WWW: 
https://www3.ls.tum.de/fafsys/startseite/
Ansprechpartner/in: 
Prof. Dr. Peter Annighöfer
E-Mail: 
peter.annighoefer@tum.de
(Ursprünglich) veröffentlicht am: 
22.12.2021
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