Minimize PhD student in vegetation model-data integration

Date added: 18 September 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 PhD student in vegetation model-data integration.

The candidate will particularly support activities in a new research project, called Fire in the Future: Interactions with Ecosystems and Society (FURNACES).

FURNACES is an interdisciplinary project between partners from Austria (TU Wien and BOKU) and Germany (Senckenberg Biodiversity and Climate Research Centre, KIT/IMK-IFU Garmisch-Partenkirchen, and TU Dresden) with backgrounds in remote sensing, ecosystem modelling and social ecology. The project aims at improving our understanding of current and future interactions between ecosystems, wildfires, and societies. The selected candidate at TU Wien will develop machine learning approaches to derive relationships between socioeconomic drivers and fire dynamics from state-of-the-art satellite and climate observations as well as socio-economic data bases and use these to assess and reformulate present-day global vegetation-fire models. Research partners will use your results to improve the representation of humans in global fire models and conduct simulations to assess the impact of future fires on ecosystems. Thus, frequent research exchange visits to TU Wien's project partners will be natural part of the job.

Your profile:

  • Master degree in environmental sciences, geodesy, geoinformation sciences, information sciences, physics, geography, or similar
  • Strong statistical skills
  • Profound programming skills (e.g. Python, R, Matlab, C++)
  • Experience in remote sensing
  • Experience in environmental modelling
  • Willingness to work together with natural and social scientists in an interdisciplinary, international project
  • Ambition to pursue a PhD dissertation
  • Good written and spoken communication skills in English

The position is expected to start on 1 December 2019, and last for three years.

Learn more about the opportunity and how to apply.


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