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Internship at the Institute for Earth Observation for machine-learning and data integration


Seasonal snow is a crucial component of the global water cycle, storing large amounts of freshwater and being a major source of runoff in many Alpine, high- and mid-latitude regions. Hence, high-quality long-term data sets on snow cover, and the continuous monitoring of these parameters, have a high priority for climate research, hydrology, meteorology, and specific applications like the prediction of river runoff.

Based on meteorological modelling and remote sensing data, spatially and temporally extensive datasets can be assembled to describe the critical snow parameters. This knowledge about the current state of variables like snow cover fraction, snow cover duration, or snow water equivalent is a strong predictor for the river runoff of several months ahead.

The successful candidate will support the assembly of an Alpine snow and runoff dataset, based on MODIS, ERA5, and measurements from river gauging stations, and the validation and cross-comparison of these different datasets. The internship's main aim will be to develop a machine-learning-based river runoff forecast model for the Alps. Building on previously carried out work at the Institute for Earth Observation, an assessment of different machine learning methods and the predictive power of input variables shall be carried out.

If possible, we would encourage the integration of the work carried out into a master thesis.


  • Support the assembly of an Alpine snow and runoff training database
  • Validation and cross-comparison of modelled and remotely sensed snow variables
  • Machine-learning-based integration of snow information and meteorological data
  • Documentation/Report writing



  • Bachelor degree in engineering or computer science or a comparable course of study;
  • Very good programming skills (e.g. in Python);
  • Good knowledge of machine learning
  • Fundamental understanding of meteorology and hydrology
  • Ability in team working, good communication, motivation to learn and personal initiative;
  • Very good English (+ good German and / or Italian desirable);


We offer:

  • An interesting job in a young international and interdisciplinary team;
  • State-of-the-art technical facilities (soft- and hardware, communication tools);
  • The contract will start as soon as possible and will be initially issued for 6 months.


How to apply:

Interested candidates should submit their online application (CV and cover letter) within 05.03.2021 to the following email address: earth.observation@eurac.edu


Eurac Research
Institute for Earth Observation

Viale Druso 1 – 39100 Bolzano
Email: earth.observation@eurac.edu- www.eurac.edu
Tel: +39 0471 055 370 / Fax: + 39 0471 055 379

For further information please contact Paola Winkler: Tel: +39 0471 055 383


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Viale Druso, 1 / Drususallee 1
39100 Bolzano / Bozen - Italy
How to reach us​
Tel: +39 0471 055 055
Fax: +39 0471 055 099
Email: info@eurac.edu
Partita IVA: 01659400210
Host of the Alpine Convention