Master's thesis and internship opportunity at Fraunhofer IMS in Duisburg, Germany, focused on AI model development and application, with possible topics including optimization of AI models, AI-based RFID/Radar-Multipath analysis, and development of robotic systems and AI models.
Requirements
- Study of engineering sciences, electrical engineering, computer science, physics, or comparable with very good to good grades
- Good programming skills in Python
- Basic knowledge of machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
- Analytical thinking, self-initiative, and willingness to try new things
- Independent and reliable work, self-initiative, and high level of communication and team skills
Benefits
- Remuneration
- Flexible working hours (flexible working hours model)
- Fixed vacation entitlement
- Possibility to implement your results as a research demonstrator or present them at conferences as a paper/poster
- Varied insights into the work of scientific staff at a research institute, among other things in cooperation with the University of Duisburg-Essen