The Ecosystem Dynamics and Forest Management Group at the Technical University of Munich (TUM) is inviting applications for a PhD position in Forest Management (m/f/d), starting in October 2026. This role offers an opportunity to engage in cutting-edge research on forest resilience, biodiversity, and ecosystem services within a globally respected academic environment. The Ecosystem Dynamics and Forest Management Group at the TUM School of Life Sciences, Technical University of Munich studies how forests change in time and space. We quantify these changes, identify their causes and describe their impacts on biodiversity and ecosystem services.
To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation modeling. A quantitative understanding of ecosystem dynamics provides the foundation for the development of robust management concepts for the sustainable provisioning of diverse ecosystem services and for maintaining the integrity and diversity of ecosystems in a changing world.
About the Research Group
The Ecosystem Dynamics and Forest Management Group at TUM’s School of Life Sciences focuses on understanding how forest ecosystems evolve across time and spatial scales. Their work integrates empirical research, remote sensing, and simulation modelling to:
- Quantify ecosystem changes
- Identify key ecological drivers
- Evaluate impacts on biodiversity and ecosystem services
This quantitative and interdisciplinary approach underpins the development of sustainable forest management strategies, particularly relevant in the context of climate change and environmental uncertainty.
Position Overview
- Role: PhD Student in Forest Management
- Employment: 65% (approximately 26 hours/week)
- Duration: 3.5 years
- Salary: TV-L E13 (German public sector scale)
- Location: Freising, Germany
- Start Date: October 2026
The position is part of the BETA-FOR research project, funded by the German Research Foundation (DFG), and involves collaboration with leading institutions, including the University of Göttingen.
Research Focus
The PhD project will investigate the role of beta-diversity in enhancing forest resilience to disturbances such as climate extremes, pests, and other environmental pressures.
Key research questions include:
- How does beta-diversity influence forest stability and recovery?
- Can increased landscape diversity buffer forests against future disturbances?
- What are the implications for ecosystem service provision under climate change?
The primary methodological tool will be forest landscape simulation modelling, specifically using the iLand model, a widely recognized framework in ecological modelling.
Key Responsibilities
As a doctoral researcher, you will:
- Compile and prepare datasets for simulation modelling
- Validate models against independent empirical data
- Develop forest management strategies aimed at increasing beta-diversity
- Assess resilience outcomes under different disturbance scenarios
- Quantify climate change impacts on forests and ecosystem services
- Support economic analyses through data preparation
- Publish findings in peer-reviewed international journals
- Present research at scientific conferences and stakeholder events
Candidate Profile
Applicants should meet the following criteria:
- Master’s degree in forestry, ecosystem management, simulation modelling, or a related field
- Strong interest in forest biodiversity and resilience
- Understanding of ecosystem service provisioning
- Solid quantitative and analytical skills
- Experience or strong interest in simulation modelling
- Effective communication skills
- Ability to work in interdisciplinary and international teams
What TUM Offers
- Participation in a high-impact, interdisciplinary research project
- Collaboration with international experts and institutions
- Access to advanced modelling tools and datasets
- A dynamic academic environment at the forefront of forest science
- Structured PhD training within a DFG-funded framework
TUM is committed to diversity and inclusion. Applications from women and individuals with disabilities are strongly encouraged, with preference given to equally qualified candidates from underrepresented groups.
Application Process
Deadline: May 5, 2026
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 success-fully 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.
Submit your application via email as a single PDF file including:
- Complete academic CV
- Motivation letter (maximum two pages), addressing:
- Your motivation for the research topic
- Your qualifications and relevant experience
- Email: bewerbung.edfm@ls.tum.de
- Additionally, applicants must complete the official application form
Postal Address:
Technical University of Munich
Chair of Ecosystem Dynamics and Forest Management
Attn. Violeta Aramayo
Hans-Carl-von-Carlowitz-Platz 2
85354 Freising, Germany
For academic inquiries, contact:
Prof. Rupert Seidl – rupert.seidl@tum.de
Frequently Asked Questions (FAQs)
What is beta-diversity in forest ecosystems?
Beta-diversity refers to the variation in species composition between different habitats or areas within a landscape. Higher beta-diversity often indicates greater ecological heterogeneity, which may enhance resilience to disturbances.
Is this PhD position fully funded?
Yes, the position is funded under the German public sector salary scale (TV-L E13) at 65% employment for 3.5 years.
What is the iLand model?
The iLand model is an advanced forest landscape simulation tool used to analyze forest dynamics, disturbances, and management strategies under varying environmental conditions.
Do I need prior experience in simulation modelling?
While not strictly required, a strong interest and foundational knowledge in quantitative methods and modelling will be highly beneficial.
Is knowledge of German required?
The position is in an international research environment, and English proficiency is typically sufficient. However, basic German skills may be advantageous for daily life in Germany.
Can international students apply?
Yes, the position is open to international applicants, provided they meet the academic and professional requirements.
What are the career prospects after this PhD?
Graduates can pursue careers in academia, environmental consulting, policy-making, or international organizations focused on forestry, sustainability, and climate science.
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