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.
Please submit your application via our online portal with your cover letter, CV (please omit your photo, age, or marital status) and relevant attachments.
Closing date for applications:
Place of work: Leipzig
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 UFZ develops process-based hydrologic models, e.g., the mesoscale Hydrologic Model (mHM; www.ufz.de/mhm), which is used operationally in the German Drought Monitor (https://www.ufz.de/duerremonitor). Such models are routinely used to monitor and forecast extreme events, such as droughts or floods, from the regional to continental scale. The uncertainty in these products is critically related to the uncertainty of data and data products assimilated in the modeling process. It is a grand challenge to quantify the uncertainty of spatial data sets, e.g., airborne or spaceborne imagery products, which are essential when developing models with high spatial resolution. Data uncertainty can be related to observational aspects, such as measurement precision and accuracy, but also to spatial sampling and resolution or even uncertainties inherent to methodologies used to process the raw data when deriving data products suitable for assimilation in models. We invite applicants for a
Scientist position (m/f/x) in Uncertainty Quantification of Spatial DataWorking time: 100% (39 hours per week), limited to 3 years with the option of extension
- Development of concepts for uncertainty quantification of technically and remotely sensed spatial data
- Uncertainty quantification of spatial data on regional and national scales
- Development of tools and methodologies necessary to realize uncertainty quantification towards a maturity that it can also be applied by other scientists at UFZ
- High-level publication of research results and active networking
- Strong background in Mathematics
- PhD in Mathematics, Physics, Engineering, Remote Sensing, Data Science, or similar
- Experience with spatial data or image processing
- Experience in field data acquisition and/or field data processing
- Awareness of data and methodological uncertainty in combination with fundamental data uncertainty assessment
- Excellent technical facilities which are without parallel
- The freedom you need to bridge the difficult gap between basic research and close to being ready for application
- Work in interdisciplinary, multinational teams and excellent links with national and international research networks
- A vibrant region with a high quality of life and a wide cultural offering for a balance between family and professional life
- Interesting career opportunities and an extensive range of training and further education courses
- Remuneration up to the TVöD public-sector pay grade 13 including attractive public-sector social security benefits