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Internship in Temperature Estimation Using Neural Networks for eBikes

Bosch GroupReutlingenNew
On-site Internship

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Experience Level

Entry Level

Qualifications

The ideal candidate will have a background in data science, machine learning, or a related field. Proficiency in programming languages such as Python or R is essential. Familiarity with neural network frameworks and a keen interest in electric mobility technologies will be advantageous. Strong analytical skills and the ability to work collaboratively in a team are required.

About the job

Bosch Group offers an internship focused on temperature estimation for eBikes, applying neural networks to real-world transportation technology. This position is based in Reutlingen and centers on research and development in the area of sustainable mobility.

Role overview

This internship involves exploring advanced machine learning methods to estimate temperature in eBike systems. The work supports ongoing efforts to improve the performance and reliability of eBikes through data-driven solutions.

What you will do

  • Contribute to research projects on temperature estimation for eBikes
  • Apply neural network models to real-world data and scenarios
  • Support the development of machine learning solutions for sustainable transportation

Location

This internship is located in Reutlingen.

About Bosch Group

Bosch Group is a global leader in technology and services, dedicated to creating innovative solutions that enhance the quality of life. With a commitment to sustainability and excellence, we are at the forefront of developing technologies that shape the future of mobility, energy, and automation.

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