Aktuelle Jobs im Zusammenhang mit Solar Cell Scientist for Machine Learning Based - Freiburg - Solarlab Aiko Europe GmbH
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Freiburg, Baden-Württemberg, Deutschland Fraunhofer-Gesellschaft VollzeitPosition Overview: Student Research Assistant for Bachelor ThesisThe Fraunhofer-Gesellschaft, renowned for its pioneering work in solar energy systems, is seeking a dedicated Student Research Assistant to contribute to a significant research initiative focused on Thermophotovoltaics (TPV). This project aims to enhance energy efficiency by utilizing waste...
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Freiburg, Baden-Württemberg, Deutschland tsenso GmbH VollzeitAbout the PositionWe are seeking a highly skilled Research Scientist to join our team at tsenso GmbH, a leading food-tech start-up in Stuttgart. The successful candidate will be part of a larger endeavor coordinated by tsenso GmbH, aiming to develop digital twins for food products using modern experimental techniques.The position will be located at Freiburg...
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Freiburg, Baden-Württemberg, Deutschland tsenso GmbH VollzeitAbout the PositionWe are seeking a highly skilled Research Scientist to join our team at tsenso GmbH, a leading food-tech start-up in Stuttgart. The successful candidate will be part of a larger endeavor coordinated by tsenso GmbH, aiming to develop digital twins for food products using modern experimental techniques.The position will be located at Freiburg...
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Student Assistant silicon Materials
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Freiburg, Baden-Württemberg, Deutschland tsenso GmbH Vollzeit{"h2": "Join Our Team as a Digital Twin Expert", "p": "At tsenso GmbH, we are pushing the boundaries of food quality analytics by developing innovative digital twin solutions. As a Research Scientist, you will play a key role in our mission to revolutionize the food industry.Your primary responsibility will be to design and develop digital twins for food...
Solar Cell Scientist for Machine Learning Based
vor 5 Monaten
**Solar Cell Scientist for Machine Learning based Data Analysis**
Your future in the SOLAR Industry.
Join the industry, which fights climate change most effectively, join Solar Photovoltaics Industry with one of the largest, most innovative companies in the world, Aiko Solar.
Solarlab Aiko Europe GmbH is Aiko’s R&D hub in Europe and gives experienced and young professionals from
European PV research institutes the unique chance to make research results become products.
To further strengthen our team in Freiburg, Germany, we’re looking for an experienced solar cell scientist with knowledge in the field of machine learning based data analysis.
**Job description**
This job position is dedicated to identifying and deepening understanding of power losses of state‐of‐the‐art silicon solar cells. You will be responsible for establishing new routines for advanced data analysis of mass‐ produced solar cells. Your analysis should build the foundation for continuous improvement of mass production.
‐ You will develop a machine learning based approach to describe and optimize data of mass‐produced solar cells.
‐ You will become an expert for advanced data analysis.
‐ You will ideally complement your data analysis with a fundamental simulation‐based analysis of solar cell loss mechanisms.
‐ You will support the production team with trouble‐shooting and continuous improvement.
**Your profile**
‐ successfully completed degree in the field of natural sciences or engineering. A doctorate is a plus.
‐ You have extensive experience in machine learning (e.g. supervised learning, artificial neural networks,...).
‐ You have very good knowledge of how solar cells work and have a good understanding of semiconductor physics.
‐ Experience in simulation (e.g. Quokka3, Sentaurus TCAD) is an advantage.
‐ You are characterized by an independent and analytical way of working as well as the ability to work in a team.
‐ Confident handling of MS Office and in‐depth programming knowledge (e.g. Python).
‐ Very good command of English language.
Dr. Frank Feldmann
Solarlab Aiko Europe GmbH
Berliner Allee 29
79110 Freiburg
+49 171 937 1732
Solarlab Aiko Europe GmbH Managing Director: Dr. Christian Peter Sparkasse Freiburg
Handelsregister Freiburg i.Br. HRB 722671 Account No.: 140 646 92
Berliner Allee 29 Sitz: Freiburg i.Br. 79110 Freiburg
Work Location: In person