Within the framework of the international research project SAVE Water – GeoSpatial and Artificial Intelligence Technologies: Innovative Approach for Water Resources Management, Technische Universität Berlin develops data-driven approaches for sustainable water resources management under climate change conditions. The project addresses challenges such as water scarcity, pollution, and increasing resource-use conflicts through the application of geoinformation technologies, remote sensing, and artificial intelligence.

A key focus of this position is the investigation of water stress in urban trees by linking high-resolution time series from a multispectral phenocam with soil moisture and tree physiological measurements. In addition, remote sensing data will be combined with in-situ observations to estimate evapotranspiration across multiple spatial scales.

We are seeking a highly motivated candidate with above-average qualifications, a strong interest in research, and willingness to work in an international and interdisciplinary project environment. The Geoinformation Lab for Environmental Planning at Technische Universität Berlin offers a position as Research Assistant in the field of remote sensing and urban ecology.

The responsibilities of this position within the SAVE Water research project include:

• Analysis of time series from multispectral camera observations (phenocam) of urban trees
• Linking and comparison of time series from sap flow measurements, dendrometers, and soil moisture sensors
• Analysis of water stress and physiological responses of urban vegetation
• Integration and analysis of remote sensing data (e.g. Sentinel-2)
• Combination of Sentinel-2 data with eddy covariance (eddy flux) measurements to derive
  evapotranspiration at larger spatial scales
• Development and application of time series analysis methods to identify stress indicators
• Collaboration within international project structures and contribution to scientific publications

• Successfully completed university degree (Master, Diplom or equivalent) in environmental sciences, geoecology, ecology, physical geography, or a related discipline with a strong focus on ecology and remote sensing
• Experience in the analysis of remote sensing data
• Experience in urban ecology and plant physiological processes
• Programming skills (R and/or Python) and experience in time series analysis
• Very good command of English, both written and spoken
• Knowledge in evapotranspiration analysis, particularly combining remote sensing and eddy covariance data is desirable
• Experience in upscaling point-based measurements to larger spatial scales (e.g. using Sentinel-2) is desirable
• Experience with sap flow measurements, dendrometers, or soil ecology is desirable
• Strong interest in interdisciplinary and international collaboration is desirable

Please send your application, including reference number and the usual documents, via email to
sekretariat@geoinformation.tu-berlin.de. Only single PDF files containing all relevant documents (motivation letter, CV, certificates) will be accepted.

For further information, please contact Dr. Basem Aljoumani (basem.aljoumani.1@tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.