Postdoctoral Researcher; f​/m​/x in Predictive Avifauna Modelling

Place of work

Leipzig

100

The job position is available for full-time or part-time employment.

Limited contract/ October 31st 2029 (If the interim evaluation is positive, an extension until October 31, 2031 is possible)

Remuneration according to the TVöD public-sector up to pay grade 13 including attractive public-sector social security benefits.

Your contact for any questions you may have about the job:
Karin Frank
- Nils Hein
- Tati Micheletti - tati

Please submit your application via our online portal with your cover letter, CV (please omit your photo
, age, or marital status) and relevant attachments.

The UFZ has a strong commitment to diversity and actively supports equal opportunities for all employees regardless of their origin, religion, ideology, disability, age or sexual identity.
We look forward to applications from people who are open-minded and enjoy working in diverse teams.

The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission:
Our research seeks to find a balance between social development and the long‑term protection of our natural resources.

The newly established research group Bird Futures is seeking a creative and highly skilled Ecological Modeler to build the quantitative foundation of our project. This project’s mission is to develop cutting‑edge bird diversity models and scenarios across Europe. Your work will help directly generate products for societal, business, and financial decision‑making, and inform critical policy like the EU Nature Restoration Law.

This is a unique opportunity to join a team at its inception that will define the future of predictive biodiversity conservation science in Europe. A core scientific challenge of Bird Future is the integration of diverse, multi‑scale datasets. The project will be fueled by fine‑scale, high‑resolution bird monitoring data from key partners like the Dachverband Deutscher Avifaunisten (DDA), which must be harmonised with broader, continental‑scale environmental data streams (e.g., climate projections, remote sensing land cover).

Success in this role will require not just technical skill, but a deep appreciation for spatial ecology and the ability to think and model across scales—from the local habitat that drives an individual bird’s presence to the continental forces that shape entire populations.

• Working in close collaboration with the group leader and partners from the Triple Bird initiative, you will co‑develop innovative biodiversity forecasting models.
• Your work will form the scientific engine of the Bird Futures project. Develop dynamic (i.e., time‑explicit) habitat use models to forecast the impacts of diverse policy and management options on avifauna.
• Project bird metrics with future scenarios that clearly illustrate the long‑term consequences of different courses of action for decision‑makers.
• Build and implement a continuous evaluation pipeline for biodiversity protection measures, using annually updated data from schemes like PECBMS.
• Play a key role, in close collaboration with other project partners, in the co‑conceptualisation and design of related user‑friendly data products.
• Together with the team lead and the team’s social scientist, you will be responsible for translating complex model outputs into actionable insights for a diverse range of stakeholders (finance, business, conservation NGOs).
• Publish high‑impact research and present your work at international conferences.

• The freedom to master even the most demanding challenges between basic research and practical application.
• The chance to work in interdisciplinary, international teams and benefit from a variety of perspectives.
• First‑class integration into national and international research networks to work together on global challenges.
• Excellent research infrastructure and research data management to optimally support your…