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Join a team that helps make industries cleaner and smarter. You will be part of a group working on new solutions for marine and port automation, focusing on machine learning and computer vision. This six-month internship gives you a chance to learn and grow with support from experienced engineers.

Your tasks

  • Explore current challenges in marine or port operations by working directly with ABB R&D teams
  • Review academic literature to understand the latest developments
  • Design, test, and document possible solutions for automation systems
  • Create quick prototypes through proof-of-concept projects
  • Work with synthetic and real-world data from sensors like cameras and LiDAR

What you bring

  • You are currently studying Computer Science, Electrical Engineering, Information Technology, or a similar field (5th semester or higher)
  • You are interested in data analytics, machine learning, or computer vision
  • You have experience with Python and PyTorch
  • Experience with ROS2 and/or LiDAR is a plus
  • You communicate well in English
  • You are eager to learn and can quickly adapt to new topics
  • You are self-motivated and like hands-on work
  • You can think conceptually and share your ideas clearly
  • You are available for a six-month internship (start and end dates are flexible)
  • If you are a non-EU/EFTA citizen, you need a certificate from your university showing the internship is mandatory for your studies

What we offer

  • Work with a supportive, multidisciplinary team
  • Gain hands-on experience in real-world projects
  • Develop skills in machine learning and computer vision
  • Opportunity to contribute to safer and more sustainable marine and port solutions
  • Grow in a global company focused on innovation and sustainability
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Über uns

ABB is a global technology leader helping industries run smarter and cleaner. We create solutions that improve energy management, efficiency, and safety, all while supporting a low carbon future. At ABB, you can make a real impact and grow your career as part of a diverse and innovative team.

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