Postdoctoral Researcher in Forest Dynamics Modeling / Postdoctoral Researcheress in Forest Dynamics Modeling

ETH Zurich - March 10, 2026

Postdoc in Forest Dynamics Modeling

100%, Zurich, fixed-term

The Forest Resources Management Group (FORM) at ETH Zurich is dedicated to maximizing forest utilities for present and future generations. Our research centers on developing innovative, impact-oriented approaches to inventory forest resources, creating decision support systems for sustainable management, and translating findings into policy and practice.

Project Background

With a growing need to represent climate-sensitive ecological processes, forest dynamics models must maintain computational robustness, transparency, and reproducibility. The Forest Studio model serves as a modular modeling environment that integrates ecological theory, empirical data, and modern scientific programming workflows.

This position is focused on advancing the implementation of ecological processes, including regeneration, mortality, and natural disturbance regimes, while ensuring rigorous testing, documentation, and integration within a collaborative software development framework.

Job Description

  • Develop and implement ecological process formulations within the Forest Studio modeling framework
  • Design modeling strategies, conduct testing and validation, and ensure reproducible workflows
  • Coordinate development priorities and contribute to reporting and planning within the Forest Studio team
  • Collaborate with interdisciplinary teams and engage in international research networks
  • Publish results in peer-reviewed journals and present findings at scientific conferences
  • Co-supervise MSc, BSc, and PhD students and contribute to teaching in the Forest and Landscape Management program
  • Support and/or lead workshops, research events, and internal group meetings

Profile

  • PhD in forestry, forest ecology, or a related field
  • Strong foundation in forest ecology, forest management, and forest modeling
  • Experience developing or applying models of forest dynamics
  • Experience working with ecological and multi-scale datasets
  • Proficiency in scientific programming (e.g., R, Python, Rust, or similar)
  • Experience with version control and reproducible workflows (Git, Quarto, or similar)
  • Demonstrated scientific writing and publication experience
  • Strong analytical, organizational, and project management skills
  • Ability to work independently while contributing effectively to interdisciplinary teams
  • Excellent written and spoken English

Workplace

ETH Zurich offers a collaborative and inspiring working environment that encourages innovation and engagement.

We Offer

  • Join ETH Zurich and make a meaningful contribution while receiving support for your professional development
  • Enjoy various benefits, such as public transport season tickets, car sharing options, access to a wide range of sports through ASVZ, childcare offerings, and attractive pension benefits
  • This position has a starting term of one year, with the potential for an extension based on satisfactory performance. We aim for a longer-term commitment, which will be contingent upon performance and funding availability

The desired starting date is April 1st, 2026, but there is flexibility for the right candidate.

We Value Diversity and Sustainability

ETH Zurich fosters an inclusive culture that promotes equality of opportunity and values diversity. We aim to create a working and learning environment where every individual's rights and dignity are respected. For more information on how we maintain a fair and open environment, please visit our Equal Opportunities and Diversity website. Sustainability is a core value for us as we consistently work towards a climate-neutral future.

Curious? So Are We!

We look forward to receiving your complete application.

Only applications matching the job profile will be considered. Apply online using the form below.

About ETH Zurich

ETH Zurich is a leading university specializing in science and technology, known for its excellent education, cutting-edge research, and the direct transfer of knowledge into societal applications. With over 30,000 individuals from more than 120 countries, we cultivate a place that promotes independent thinking and an inspiring environment for excellence. Situated in the heart of Europe, we collaborate globally to develop solutions to today's and tomorrow's challenges.

Location : Zürich
Country : Switzerland

Application Form

Please enter your information in the following form and attach your resume (CV)

Only pdf, Word, or OpenOffice file. Maximum file size: 3 MB.