Internship in HR Technology & AI at Davide Campari Milano N.V. Support technology initiatives and experiment with AI tools while collaborating with HR teams.
About the role
- Werkstudent*in in der Forschungsgruppe » Efficient AI « am Fraunhofer-Institut für Integrierte Schaltungen. Entwicklung von Künstlicher Intelligenz (KI) für eingebettete Systeme mit Flexibilität im Stundenumfang.
Responsibilities
- In our research group "Efficient AI" we develop artificial intelligence (AI) for embedded systems.
- We rely on a high degree of automation to implement a wide range of use cases as quickly as possible.
- We develop solutions for practical industrial applications in computer vision, sensor data processing, and radio-based localization.
- 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 prepare your findings in engaging presentations for the team.
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 also 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 to practical problems.
Benefits
- Shape your schedule: Benefit from flexible working hours that fit well with your studies.
- Join a creative team: Experience an open and collegial working atmosphere where your ideas are valued.
- Variety that inspires: Look forward to diverse tasks that challenge and inspire you.
- Help shape the future: Contribute to application-oriented research and put your theoretical knowledge into practice.
- Exciting innovations: Work on interesting, forward-looking projects that make a real difference.
Job title
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Not specified
Degree requirement
Tech skills
Location requirements
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