Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
DR
Hybrid Internship – Technology Development, Software Programming, Computer Vision, Machine Learning
Posted 2 months ago
About the role
- Intern supporting the development of algorithms in technology applications for medical and safety engineering. Joining a multidisciplinary team focused on innovative solutions for life-saving technology.
Responsibilities
- Support in developing novel algorithms and methods for data-driven applications
- Work in an interdisciplinary team of developers, market experts, and potential customers
- Development of intelligent sensor systems for the control of anesthesia and ventilation devices
- Further development of mobile and stationary gas measurement device fleets as well as camera-based monitoring systems
Requirements
- Enrolled in Electrical Engineering, Physics, Computer Science, Mathematics, or a comparable degree program (preferably from the 4th semester onward)
- Ideally, initial experience with tools such as TensorFlow, scikit-learn, OpenCV, or the Point Cloud Library
- For a focus on Data Engineering: ideally initial experience with modern (NoSQL) database systems, distributed storage systems, and stream processors such as Apache Spark or Flink, as well as cloud platforms
- Initial programming experience in software development (C/C++, Python and ideally C#, Java)
- Interest in applying your theoretically grounded working style and creativity in practice to develop innovative solutions and to put yourself in the shoes of our application domains and users
Benefits
- Flexible working hours
- Mobile/remote work possible
- Company laptop
- Individual onboarding and training
- Networking events
- Company-sponsored leisure and professional development programs
- Company sports and preventive health courses
- Health center and gym
- Discounts at local fitness centers
- On-site childcare and parent-child offices
- Subsidized company cafeteria
- Good transport links & parking
- Events for employees and their families
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