About this role
Einleitung
- Support the development and evaluation of computer vision solutions for automated quality inspection.
- Compare the performance of traditional image processing techniques with AI-based approaches.
- Develop proof-of-concepts for innovative manufacturing and inspection applications.
- Generate high-quality synthetic training data for machine learning models used in production environments.
- Improve existing AI models through sim-to-real transfer learning, including pre-training on synthetic datasets and fine-tuning with real-world production data.
- Analyze results, identify optimization opportunities, and contribute to continuous model improvement.
- Student in Artificial Intelligence, Robotics & AI, Computer Science, Applied Informatics, Data Science, Information Technologies, Mechatronics, Systems Engineering, Electrical Engineering, or a related field
- Interest in Computer Vision, Machine Learning, Deep Learning, Artificial Intelligence, or Industrial Automation
- Basic programming skills, preferably in Python
- Analytical thinking and a structured approach to problem-solving
- Curious, innovative, and eager to learn new technologies
- Ability to work independently while contributing effectively within a team
- Hands-on experience in future-oriented projects focused on AI, Computer Vision, and digitalization
- The opportunity to work with state-of-the-art technologies in a global high-tech manufacturing environment
- Meaningful projects where your ideas and contributions can make a real impact
- Flexible working hours, a supportive team culture, and an open feedback environment
- Valuable insights into industrial AI applications and smart manufacturing processes
- Gross monthly salary of EUR 2,553,12 according to the Austrian Collective Agreement for the Electrical and Electronics Industry
Gerda Reif | Talent Acquisition
[email protected] | +43 4262 2644 1159