PhD student in Vegetation Model-Data Integration, Vienna, Austia


Deadline: October 1st, 2019

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. Our 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 our 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

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