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The intern will investigate whether there has been an increase in the number of riverine heat waves and/or their intensity, duration and frequency in Luxembourg, as well as how these vary across catchments of different sizes and physiographical characteristics (e.g. land use and geology). The relationship between riverine and air heat waves will also be investigated.
Job Responsibility:
Compile a comprehensive dataset of air and water temperature dating back to the ‘50
Apply algorithms to fill data gaps if needed
Analyse the dataset statistically
Deliver a final report summarising the methods used and the results obtained
Deliver an internal presentation of the results at the end of the internship
Requirements:
Master's degree in progress (mandatory) in Hydrology, Water Resources, Hydraulic Engineering, Freshwater Ecology or related fields
Solid understanding of statistical concepts and methods
Programming skills (e.g. R, MATLAB, Phyton) are an asset
Good command of English
Nice to have:
Programming skills (e.g. R, MATLAB, Phyton) are an asset
What we offer:
32 days’ paid annual leave for a full time internship