Your tasks
- You are part of the R&D team and work on the topic "Automatic Data Augmentation on the Camera for Computer Vision".
- You investigate the influence of different recording parameters on the performance of neural networks.
- You will record training data and train neural networks to compete against each other in experiments designed by you.
- You evaluate which recording parameters of the camera have the greatest influence on the performance of the neural networks.
Whether as a working student (20 workingshours) or a final thesis (incl. Internship) - you decide. We offer you a comprehensive insight into what is happening in the company so that you can work independently and play an active role.
Your profile
- You are studying electrical engineering, (technical) computer science with a corresponding focus or a comparable field of study, ideally already advanced.
- You have some experience with programming in Python and ideally neural networks.
- You are fascinated by the topic of image processing and are looking for a professional challenge.
- You are characterized by independence and a high level of initiative and enjoy working in an international team.
Your benefits
As a member of the TKH Group and a global medium-sized industrial company with nine locations in Germany, Canada, the USA, Singapore and China, we develop, produce and distribute our products. Behind our success are over 250 employees and a corporate culture that prioritizes both customer and employee needs and focuses on entrepreneurial thinking.
We attach great importance to an open and communicative atmosphere in which we leave enough room for cooperation, feedback and ideas. In addition to interesting projects, we offer many development opportunities in an innovative company with flat hierarchies, a very flexible working hours model and fair pay. Whether it's a meal together, team events or sports activities - there are many good reasons to join Allied Vision.
Use your potential for the next step in your career and become part of our team!