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
Working Student – Condition Monitoring with Embedded AI
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