Postdoc in Forest Dynamics Modeling
Immigration Policy Lab
Postdoc in Forest Dynamics Modeling
100%, Zurich, fixed-term
The Forest Resources Management Group (FORM) at ETH aims to maximize forest utilities for humans today and in the future. With this vision in mind our research is centered around the development of impact oriented new approaches to inventory our forest resources, decision support systems to manage our forests sustainably under risk, and translating our findings to policy and practice.
Project background
Forest dynamics models increasingly need to represent climate-sensitive ecological processes while remaining computationally robust, transparent, and reproducible. The model Forest Studio is designed as a modular modelling environment that integrates ecological theory, empirical data, and modern scientific programming workflows.
This position focuses on advancing the implementation of ecological processes, such as regeneration, mortality, and natural disturbance regimes, while ensuring rigorous testing, documentation, and integration within a collaborative software development environment.
Job description
- Develop and implement ecological process formulations within the Forest Studio modelling framework
- Design modelling 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 contribute to international research networks
- Publish results in peer-reviewed journals and present 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 modelling
- 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
Workplace
We offer
- Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
- You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits
- This position has a starting term of one year, with the opportunity for an extension for another year, based on satisfactory performance. We are seeking a longer-term commitment and aim to support a continuation of this position beyond 2 years, which will be subject to satisfactory performance and availability of funding
The desired starting date is April 1st, 2026, with flexibility for the right candidate
We value diversity and sustainability
Curious? So are we.
We look forward to receiving your complete application, including:
- A letter of motivation (max. 2 pages) describing your background, motivation, and specifying which forest dynamics models you have worked with, in what context, and your role in their development or application.
- A full CV, including a complete publication list.
- Academic certificates and transcripts
- Names and contact details of 2–3 references
Applications will be reviewed on a rolling basis until the position is filled.
Please submit your documents in PDF format via the ETH online portal. We do not accept applications by email.
Further information on our research group are available at our website. For questions regarding the position, contact olalla.diaz@usys.ethz.ch.