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 candidates 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

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.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.