The UFZ
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 job
Your tasks
- Investigate soil–vegetation–atmosphere dynamics under climate extremes using modelling approaches and observational data (in-situ and remote sensing)
- Develop and apply methods to quantify the impacts of extreme events on soil moisture / temperature, vegetation functioning, and land–atmosphere feedbacks
- Publish results in peer-reviewed journals and present findings at international conferences.
- Collaborate with colleagues and external partners in interdisciplinary projects.
- Contribute to proposal development and student supervision where appropriate.
We offer
The freedom to master even the most demanding challenges between basic research and practical applicationThe chance to work in interdisciplinary, international teams and benefit from a variety of perspectivesFirstclass integration into national and international research networks to work together on global challengesExcellent research infrastructure and research data management to optimally support your workFlexible working hours and a wide range of options for balancing work and care responsibilities through our family officeCompetent support and advice for international colleagues arriving at the UFZ from the 'International Office'Special annual payment, capital-forming benefits and subsidised Germany Job TicketA workplace in a vibrant region with a high life quality and social and cultural diversityYour profile
PhD (or near completion) in Meteorology, Remote Sensing, Hydrology, Earth System Science, Ecology, or a related field.Strong background in land–atmosphere interactions, soil hydrology, vegetation dynamics, or climate extremes.Experience with remote sensing, land surface models, or machine learning is highly desirable.Proven track record of publications in relevant fields.Strong programming skills (e.g., Fortran, Python, R, MATLAB) and experience handling large datasets.Excellent written and oral communication skills in English, with the ability to work independently and in a team.