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

University of Graz, Austria

Updated: about 2 months ago
Deadline: 22 Mar 2024

11 Mar 2024
Job Information
Organisation/Company

University of Graz
Department

Geography
Research Field

Geography » Other
Geosciences » Other
Computer science » Programming
Researcher Profile

First Stage Researcher (R1)
Recognised Researcher (R2)
Country

Austria
Application Deadline

22 Mar 2024 - 23:59 (Europe/Vienna)
Type of Contract

Temporary
Job Status

Negotiable
Hours Per Week

40
Offer Starting Date

1 Apr 2024
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Researcher with/without PhD

30-40 hours a week; fixed-term employment for the period of 1.5 years with the goal to achieve a long-term employment in follow-up research projects.

 

Job definition

  • Project title: RSnowAUT A modular remote sensing pipeline incl. ground-truth monitoring for automated snow avalanche detection and forecasting
  • Project duration: 2022 – 2025
  • Development of a data pipeline that can process SAR remote sensing and reanalysis weather data for detection of snow avalanches together with national and international collaborators. For details see doi:10.3389/frsen.2023.1156519
  • Publication and dissemination activities

 

Your skills

  • Required
    • 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 in handling 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

  • Classification in University collective agreement: C-B1 (depending on qualification)
  • Salary: EUR 2599-4752 gross/month (depending on qualification)
  • Regular contract or consulting contract (Werkvertrag)
  • Possibility to join fieldwork in Austrian mountain regions
  • Possibility to join a spin-off company to be funded in 2025/26 (GEOTEQ FFG Spin-off Fellowship)

 

Application Deadline: 22 March 2024

 

We offer you a job with a lot of responsibility and variety. You can expect an enjoyable work climate, flexible work hours, home-office and numerous possibilities for further education and personal development.

The University of Graz strives to increase the proportion of women and therefore encourages qualified women to apply. Especially with regard to academic staff, we welcome applications from persons with disabilities who meet the requirements of the advertised position.

 

If you are interested, please submit your application documents (motivation letter, CV, certificates, Python experience like: projects, github, open source, papers) in a single PDF before the stated deadline to: [email protected]


Requirements
Research Field
Geosciences » Other
Education Level
Master Degree or equivalent

Research Field
Geography » Other
Education Level
Master Degree or equivalent

Research Field
Computer science » Programming
Education Level
Master Degree or equivalent

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

Languages
ENGLISH
Level
Excellent

Languages
GERMAN
Level
Basic

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
University of Graz
Country
Austria
City
Graz
Geofield


Number of offers available
1
Company/Institute
University of Graz
Country
Austria
City
Graz
Geofield


Where to apply
E-mail

[email protected]

Contact
City

Graz
Website

https://www.uni-graz.at
Street

Heinrichstraße 36
Postal Code

8010

STATUS: EXPIRED

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