Germany’s #UFZ Looking for Postdoc Researchers for Ecohydrology
#Germany Seeking Talent for #Environmental Research
- Germany’s #UFZ Looking for Postdoc Researchers and Scientists in Remote Sensing for Ecohydrology
- #Germany Seeking talent for #Environmental Research
- Germany’s Helmholtz Centre for Environmental Research (UFZ), a research institute focusing on the intersection of environment and society and based in Leipzig, is seeking talent, Researchers and Scientists for Environmental Research.
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#Germany Seeking Talent for Environmental Research
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
We are looking for a highly motivated scientist to join the Remote Sensing Department (www.ufz.de/remote-sensing) at UFZ. The scientist will apply high-resolution satellite observations and model-data fusion framework to quantify ecohydrological variables like soil moisture, evapotranspiration and its partitioning in transpiration and evaporation, water use efficiency, aiming to better understand the drivers and mechanisms controlling complex interactions between vegetation and hydrologic flows at multiple temporal and spatial scales. Strong collaboration is foreseen with the Remote Sensing Centre for Earth System Research (https://rsc4earth.de), and other partner institutions (e.g., iDiv, DLR, MPI-BGC, TROPOS, UKCEH) to better understand water dynamics and ecosystem functioning in a changing climate.
The employment contract will be limited for 3 years with option for extension based on evaluation. The earliest possible start of contract is April 1, 2023.
Your tasks
The scientist can choose from one of the following two topics:
further developing and evaluating our model-data fusion framework for high-resolution soil moisture (surface and root zone) or evapotranspiration estimation at regional and global scales, through the combined use of multi-source satellite observations (e.g., Sentinel 1-3, MODIS, Landsat, SMAP) and ground-based measurement networks (e.g., TENERO, eLTER).
applying remote sensing data, statistical machine learning methods or mechanical models to assess vegetation-water interactions, including responses to soil moisture/vapor pressure deficits, radiation or precipitation responses and feedbacks, and to improve understanding and modelling of drought responses.
We offer
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 inter-disciplinary, 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
Your profile
PhD degree in remote sensing, meteorology, hydrology, physical geography, environmental sciences, physics, statistics, computer sciences, or related field
Good programming (e.g., Python, R, Matlab, or Fortran) and remote sensing data processing skills
Good communication skills in English and willingness to work in an interdisciplinary and multicultural research team
Good record of peer-reviewed publications or successful experience in third-party funding application is an asset
Please submit your application documents including your CV, cover letter, 2 references as well as relevant attachments.
By: M.A
