Hybrid Working Student – Condition Monitoring with Embedded AI

at Fraunhofer IIS

• Job title: Working Student – Condition Monitoring with Embedded AI
• Job type: Part Time
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python
• Location requirements: Hybrid, Nurnberg, Germany

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.