Junior Researcher On Remote Sensing Application For Snow
Institute for Earth ObservationShort description of the position:We are seeking a motivated and skilled researcher to develop methodologies for retrieving snow properties using satellite data in the context of a ESA project.
The candidate will work with optical satellite imagery and leverage cloud computing platforms to generate snow cover and snow properties maps.
This role involves innovation in remote sensing and data analytics to advance snow monitoring and support environmental research. Tasks:Develop and implement algorithms for snow cover mapping and snow property retrieval using optical satellite data. Utilize cloud computing platforms (e. g. , OpenEO) to process and analyze large-scale datasets. Use and tune dedicated machine learning models. Explore the integration of SAR data to complement optical analyses. Requirements:Strong proficiency in Python, including experience with geospatial data processing libraries. Solid academic background in engineering or physics. Experience with optical satellite data processing and geospatial analysis workflows. Familiarity with cloud computing platforms and tools. Strong analytical skills and the ability to handle large datasets effectively. We offer:An interesting job in a vivid, international, and interdisciplinary team with competences in climate change science, natural hazards, earth observation, GIS, programming, social science, etc. State-of-the-art technical facilities (soft- and hardware, communication tools). Access to numerous scientific and cultural events organized by Eurac. Attractive working place in a vivid city in the heart of the Alps with endless opportunities for skiing, hiking, climbing. Eurac Research has been voted one of the best places to work in Italy and offers many opportunities to combine work and family. The perspective of continuing with PhD studies. How to apply:Interested candidates should submit their application (CV, cover letter, study certificates/titles, and further relevant documents) by 10. 02. 25.
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