Jobnummer:
R00176058
Standort:
Graz
Working Student Computer Vision (m/f/d)
We see a future where everyone can live and move without limitations. That's why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. In the right environment, your ideas can turn into industry-changing automotive technologies and improve the lives of people around the world.
Let's create the future of mobility, together.
About the Role
We are looking for a Working Student for Computer Vision (m/f/d) for 15-25 hours per week to support the Corporate R&D Advanced Manufacturing Innovations team in Graz.You will be working in the Data Analytics, Simulation and IoT group as part of an international team, cooperatively working on computer vision and data analysis projects.
Your Responsibilities
- Comprehensive literature reviews focused on deep learning.
- Implementation of algorithms based on scientific publications and their application in manufacturing environment.
- Development of novel methods and solutions.
- Documentation of performed work.
- Assistance with additional tasks.
Who we are looking for
- Experience: Proven experience in computer vision and machine learning, with a strong emphasis on deep learning techniques. Experience in manufacturing is a plus.
- Research Enthusiast: A keen interest in keeping up to date with the latest research developments.
- Technical Skills: Solid skills in Python programming, with extensive experience in libraries such as PyTorch, NumPy, and OpenCV.
- Language Proficiency: Fluent in English. Proficiency in German is a plus.
- Work Style: An analytical and structured approach to problem-solving and project work.
- Personal Qualities: Proactive and responsible, with the ability to take initiative and work independently.
Your preferred qualifications
- Completed or well-advanced bachelor's degree and possibly ongoing master's degree in the field of artificial intelligence, computer vision, computer science, mathematics, or a similar area.
- Interest in a long-term commitment (1 year)
Work Environment
- Flexible working hours: Whether it's an exam period or semester break, you can arrange your working hours flexibly with us.
- Enjoy working collaboratively on a cross-functional, global team
- Entry into a professional career: If a suitable position is available, we are always happy to enable our working students to enter a professional career after completing their studies.
- Regular office environment with hybrid work opportunities
- We offer a gross salary of EUR 2.115,- per month for 38.5 hours per week (this position is part-time between 15 and 25 hours a week).