Researcher with/without PhD for 1.5 years: avalanche detection by machine learning at Uni Graz, Austria

Job Opportunity at the University of Graz, Austria

The University of Graz is currently seeking a:

Position: Researcher (with/without PhD)

  • Hours: 30-40 hours a week
  • Contract: Fixed-term employment for 1.5 years, with the aim of long-term employment in subsequent research projects.

Job Definition

  • Project Title: RSnowAUT - A modular remote sensing pipeline including ground-truth monitoring for automated snow avalanche detection and forecasting.
  • Project Duration: 2022 – 2025
  • Responsibilities:
    • Develop a data pipeline for processing SAR remote sensing and reanalysis weather data for snow avalanche detection, in collaboration with national and international partners.
    • See more details at DOI:10.3389/frsen.2023.1156519.
    • Conduct publication and dissemination activities.

Your Skills


  • Proven expertise in Python.
  • Git and GitHub expertise.
  • Ability to work in a team and conduct independent research.
  • English language skills.

Preferable, but NOT required:

  • PhD in remote sensing, geophysics, computer vision, machine-learning, geography, or similar.
  • Experience with netcdf and shapefiles in Python (xarray, geopandas).
  • Experience in image segmentation and Pytorch.
  • International publication activity.
  • Experience in project management and acquisition.
  • German language skills.

Our Offer

  • Salary: EUR 2,599 - 4,752 gross/month, depending on qualification.
  • Classification: University collective agreement: C-B1.
  • Contract Type: Regular or consulting contract (Werkvertrag).
  • Benefits:
    • Join fieldwork in Austrian mountain regions.
    • Opportunities to join a spin-off company (GEOTEQ FFG Spin-off Fellowship) planned for 2025/26.

Application Deadline: 22 March 2024

We offer a job with responsibility and variety, an enjoyable work climate, flexible work hours, home-office options, and numerous possibilities for further education and personal development. The University of Graz aims to increase the proportion of women in its workforce and thus encourages qualified women to apply. Applications from persons with disabilities who meet the requirements of the advertised position are particularly welcome.

To apply, please submit your application documents (motivation letter, CV, certificates, evidence of Python experience like projects, GitHub, open source contributions, papers) in a single PDF before the stated deadline to:

Thomas Goelles
Thomas Goelles
Scientist at Karl-Franzens-Universität Graz and Virtual Vehicle Research

My research interests include glaciology, lidar, albedo and numerical modelling of ice sheet processes