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Job advertisement Postdoc/Senior Scientist position - Remote Sensing for Ecohydrology

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European Geosciences Union

Postdoc/Senior Scientist position - Remote Sensing for Ecohydrology

Postdoc/Senior Scientist position - Remote Sensing for Ecohydrology


Helmholtz Centre for Environmental Research - UFZ

Leipzig, Germany


Relevant divisions
Atmospheric Sciences (AS)
Biogeosciences (BG)
Hydrological Sciences (HS)

Full time

Entry level


Required education

Application deadline
31 December 2022

1 December 2022

Job description

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 ( 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 (, 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:

1. 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).

2. 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.

More details for the position:
Please submit your application documents including your CV, cover letter, 2 references as well as relevant attachments