The Fraunhofer Institute for Solar Energy Systems ISE in Freiburg is the largest solar research institute in Europe. Our approximately 1,400 employees work towards a sustainable, economical, safe and socially just energy supply system based on renewable energies. We contribute to this with our research focus on energy supply, energy distribution, energy storage and energy use. We are shaping the sustainable transformation of the energy system through outstanding research results, successful industrial projects, company spin-offs and global cooperation.

Would you like to play an active role in shaping the energy transition and get to know and develop innovative AI models as part of your thesis? With us you will find the experts and the environment to realize these goals.

Working on the thesis "Development of AI models for the quality inspection of solar cells" you will implement deep learning models based on imaging measurements for solar cell characterization.

At the end of the thesis, there should be a method that enables a meaningful description of the solar cell and can be used in solar cell production. For this purpose, you will get to know novel measurement systems and will be able to collect the necessary data in our laboratory. The "Image Processing and Machine Learning" team has AI competencies. We have a powerful IT and laboratory infrastructure with the latest characterization technologies at our disposal, which allows for extensive data collection and unique research opportunities.

For our "Image Processing and Machine Learning" group, we are looking for a student assistant with the opportunity to write a Master's thesis at the earliest possible date.

What you will do

• You will develop and evaluate deep learning models to analyze crystal growth.

• You will use new optimization methods and combine the models with application knowledge.

• You collect data and prepare it to train your models.

• You will accompany experiments from data acquisition to algorithm implementation and evaluation.

• You will document your results and present them to the team.

What you bring to the table

• You are studying a natural science subject such as computer science, mathematics, electrical engineering, engineering, materials science, renewable energies or a comparable subject.

• You are interested in research into renewable energies.

• You can program ML models in Python.

• Methods of machine learning and computer vision are part of your passion / specialization.

• You want to apply your experience to real data and have the patience to systematically explore and analyze data.

• You can work in a structured manner and are prepared to document and present procedures, code and work results for the team.

What you can expect

• You will work at one of the most popular employers on an equal footing with the best.

• Open-minded colleagues are happy to welcome new talent into their ranks.

• We offer flexible working time models and give you the opportunity to work from home at times.

• We also foster a cooperative working atmosphere and open communication.

• We value equal opportunities and make room for diversity.

• You can take part in attractive sports and health programs and after-work activities.

The remuneration depends on the degree of your university education.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

Interested? Apply online now. (incl. cover letter, curriculum vitae, references/proof of performance) We look forward to getting to know you!

We will be happy to answer any questions you may have about this position:

Theresa Trötschler

+49 761 4588-2291

Fraunhofer Institute for Solar Energy Systems ISE 

www.ise.fraunhofer.de 

Requisition Number: 60254                Application Deadline: 01/06/2023