Minimize Data processing specialist in microwave remote sensing

Date added: 8 April 2019

Organisation: TU Wien

Location: Vienna, Austria

Job description

To support the research work of the team, the Department of Geodesy and Geoinformation of TU Wien are looking for a skilled microwave remote sensing data processing specialist with a background or interest in geospatial sciences.

The candidate will particularly support activities within ESA's Climate change Initiative for Soil Moisture, the Copernicus Climate Change Service and the Validation Service QA4SM and will have the possibility to enrol in the PhD program of TU Wien.

Your responsibilities:

  • Processing and analysis of remote sensing data (soil moisture, vegetation variables, and similar) from passive and active microwave data
  • Developing scientific algorithms in the fields of microwave remote sensing, image processing, time series analysis
  • Self-sufficient software development using Python
  • Prototyping, implementing, and testing of processing chains and generation of value-added soil moisture products
  • Validation of long-term microwave remote sensing datasets using in-situ and modelled datasets
  • Documentation and version control of software using git
  • Writing technical documents, project reports and scientific journal papers

Your profile:

  • Master (or equivalent) degree OR PhD degree in informatics, geoinformation sciences, geodesy, physical geography, mathematics, or similar
  • Excellent programming skills (especially Python)
  • Experience in remote sensing data processing and derivation of geophysical parameters (e.g. soil moisture, vegetation, snow and ice, …)
  • Strong analytical and technical skills and problem solving capability
  • Solid knowledge of statistical methods for temporal and spatial analysis of scientific data
  • Interest in geospatial sciences in particular the use of remote sensing for hydrological applications
  • Software control expertise using git
  • Use of command line linux
  • Proven expertise through published scientific articles and / or software is a distinct advantage
  • Experience of developing data processing algorithms in either spatial applications (or another context) is desirable
  • Good written and spoken communication skills in English

Candidate selection will start on 1 May, 2019, and will continue until a suitable candidate is found.

Learn more about the opportunity and how to apply.


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