项目介绍

2026年4月19日

Your profile

• Completed master studies in the field of forestry, ecosystem management, simulation modeling or related fields
• Interested in the diversity and resilience of forests
• Knowledge on forest ecosystem service provisioning
• Good quantitative skills, specific interest in simulation modelling
• Good communication skills
• Ability to work in an interdisciplinary team

Your tasks

You will conduct research on the effect of beta-diversity on forest resilience to disturbance. Specifically, you will investigate if and how increasing beta-diversity in forest landscapes can increase resilience to current and future forest disturbances and assess the implications for forest ecosystem service supply. The main methodological approach applied will be forest landscape simulation modelling using the model iLand. The work is embedded in the BETA-FOR project (https://www.uni-wuerzburg.de/for5375/) and will collaborate closely with the Forest Economics and Sustainable Land-use Planning group at the University of Göttingen (Prof. Paul).

Specifically, tasks include:

• Compilation of data for running model simulations, model evaluation against independent data sources
• Development of different management strategies to increase beta diversity
• Assessment of the effects of beta diversity on disturbance resilience
• Quantification of climate change impacts, assessment of ecosystem service supply
• Prepare information for economic analyses
• Publication of peer-reviewed scientific papers in international journals
• Communication of research findings at scientific conferences and stakeholder meetings

Our offer

• Work in a highly dynamic and international research group at the forefront of the field
• Conduct a PhD within the frame of an innovative and interdisciplinary research project funded by the German Research Foundation DFG
• Interact with a wide network of peers, scientists and stakeholders both nationally and internationally
• 65% position (26h employment per week) in remuneration group TV-L E13, for a period of 3.5 years
• The place of employment is the TUM School of Life Science in Freising, Germany
• Severely handicapped persons will be given preference in case of essentially equal qualification
• The TUM aims to increase the proportion of women in its staff; applications from women are therefore expressly welcomed

Contact

Please send your application with relevant documents by May 5th 2026 to:
Technical University of Munich
Chair of Ecosystem Dynamics and Forest Management
attn. Violeta Aramayo
Hans-Carl-von-Carlowitz-Platz 2
85354 Freising
Germany
Email: bewerbung.edfm@ls.tum.de

We ask you to send your application as a single pdf file to the above mentioned email address and fill in the following application form. The submitted file should include a complete CV and a concise letter of motivation (no longer than two pages), addressing (1) why you are motivated to work on this topic and (2) what qualifies you to successfully conduct this work. The application form is required in addition to the pdf application file, and can be found here.
For questions about the position, please contact Prof. Rupert Seidl, rupert.seidl@tum.de.

Find out more about us at https://www.edfm.ls.tum.de/ and https://www.nationalpark-berchtesgaden.bayern.de/

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

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: bewerbung.edfm@ls.tum.de