Student (f/m/x) machine learning, informatics, engineering, physics or similar

At the German Aerospace Center's (DLR) Institute of Solar Research, our goal is to make environmentally friendly energy supply both technically and economically viable through cutting-edge Artificial Intelligence (AI) techniques. In the Solar Power Plant Technology department, we focus on developing and testing machine learning methods for intelligent and autonomous solar tower power plants.
In a solar power plant, heliostats—mirrors with two-axis tracking capabilities—focus sunlight onto a central receiver. Each heliostat has distinct surface imperfections that, if left undetected, can undermine the safety and efficiency of the plant's operation. Over the past year, we have developed a cutting-edge machine learning technique called inverse Deep Learning Raytracing (iDLR) [1], which enables us to accurately predict the condition of heliostat surfaces using data collected during the plant’s regular operations. This project seeks to implement this innovative method with new data and heliostat types from a solar power facility in Spain. We are looking for a highly motivated individual who wants to do both in our reasearch group, a mandatory internship and the subsequent master thesis.

[1] http://www.arxiv.org/abs/2408.10802

You taks during the internship and the master thesis will be:

You look for mandatory internship and master thesis in one of the following degrees: machine leraning, computer science, mechanical engineering,
mathematics, physics, automation technology, electrical engineering, or a related field.