Als eines der weltweit größten Solarforschungsinstitute leistet das Fraunhofer-Institut für Solare Energiesysteme ISE einen wesentlichen Beitrag für eine nachhaltige, wirtschaftliche, sichere und sozial gerechte Energieversorgung weltweit. We are working on sustainable and economically viable production of solar cells by bringing AI into production. You support ourgroup "Computer Vision and Machine Learning" in developing AI models and transferring them into production.
In the master's thesis "Exploring latent spaces of deep networks for fault analysis in solar cells," you analyze relationships in solar cell manufacturing using state-of-the-art representation learning methods and classical statistical analysis techniques.
To support our group "Computer Vision and Machine Learning," we are looking for a student assistant to start as soon as possible, with the opportunity to write a master's thesis, for the following tasks:
You develop AI models to derive meaningful representations from complex data.
You identify connections between production data and measurement data.
You work with real data and handle outliers and pitfalls.
You study natural or engineering sciences, such as computer science, microelectronics, physics, or a comparable field.
You already have experience in the areas of computer vision, representation learning, and statistical data analysis.
Knowledge in solar cell research is advantageous, but not required.
Proficiency with PyTorch and training AI models is natural for you.
Ideally, you have already developed your own models and performed statistical data analysis.
You have already demonstrated very good English skills, both spoken and written.
In collaboration with the scientists of our research unit, you gain an insight into the daily life of research and development at a research institute.
Research mix: You will have the opportunity to connect experimental work with theory, applying and expanding what you have learned in your studies.
During your work, you will be guided by scientists and receive feedback on your progress.
Teamwork: Through interaction with scientific and student staff, you gain experience working in a team and can contribute your existing experience.
We offer you the option to flexibly tailor your working hours to your needs in consultation.
In addition to the master's thesis, a contract as a Research Assistant will be agreed upon. The remuneration depends on the degree of higher education completed.
Severely disabled people will be given preference if equally qualified.
After your online application is submitted, you will receive an automatic acknowledgment of receipt. Fraunhofer Institute for Solar Energy Systems ISE