Supports planning and organization of research projects in Human AI - Interaction at Fraunhofer Institute. Involves interdisciplinary teamwork and various research methodologies.
About the role
- Werkstudent in Condition Monitoring mit Embedded AI at Fraunhofer in Nürnberg. Developing solutions for embedded AI systems in a flexible part-time role.
Responsibilities
- In our research group “Efficient AI” we develop Artificial Intelligence (AI) for embedded systems.
- You will research the latest methods in unsupervised machine learning for sensor data.
- You will investigate and compare approaches for implementing and optimizing AI.
- You will independently implement practical solutions for demonstrators on embedded hardware.
- You will present your findings to the team in engaging presentations.
Requirements
- You are enrolled in a Master's program in Computer Science, Data Science, Electrical Engineering, or a related field.
- You have experience with Python and ideally with C.
- You have initial experience with machine learning and AI.
- You are interested in AI for embedded systems and want to develop further in this area.
- You enjoy applying theoretical knowledge in practical projects.
Benefits
- Shape your schedule: Benefit from flexible working hours that fit perfectly with your studies.
- Join a creative team: Experience an open and collegial working atmosphere where your ideas are valued.
- Diversity that inspires: Enjoy varied tasks that motivate and challenge you.
- Help shape the future: Contribute to application-oriented research and put your theoretical knowledge into practice.
- Inspiring innovations: Work on exciting, forward-looking projects that make a real difference.
Job title
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Experience level
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Not specified
Degree requirement
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