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Target audience

Considering the general and specific objectives, the Summer School will be open to graduate and post-graduate scientists from relevant disciplines as well as experts and practitioners involved in the fields of energy and remote sensing. Participants are expected to have a basic knowledge of GIS, remote sensing, renewable energies, energy modeling, impact assessment, life cycle analysis as well as good computational skills. Insight into the current debate on sustainable energy supply is an asset.
Students are expected to have at least their Bachelor degree in a subject related to the theme of the Summer School. Students with a curricular requirement for an international Summer School will be given priority admission. As the entire Summer School will be conducted in English, solid communication skills in listening, reading, writing and speaking the English language are necessary.

The common ground will be the interest in deepening their knowledge and discussing their experiences in assessing energy potentials in an international and trans-disciplinary setting. In this sense, we strongly encourage academia, industry and administration to participate in the Summer School as it is meant to be a meeting point for professionals and researchers dealing with renewable energies in their projects and daily work.

Due to limited places we recommend an early registration!

Academic Credits

The 3rd EnerGEO Summer School is embedded in the framework of an academic course at the University of Salzburg.

Students will complete the Summer School with a certificate of attendance. Having finalized all pre- and post-processing work, a Letter of Confirmation including the number of hours of this study course will be provided. It can be credited with 4 ECTS credit points and can be accredited by other Universities. It is an equivalent of 100 hours or a two week work effort. All preparatory requirements, full attendance and final presentations have to be observed in order to be eligible for participation and credit points.




This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 226364


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