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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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Intern Embodied AI and Robot Learning (f/m/x)

BMW Group
Found 3 weeks ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • ROS
  • PyTorch
  • reinforcement learning
  • behavior cloning
  • deep learning
  • robot task planning
  • MDPs
  • MPC
  • teleoperation
  • Isaac Sim
  • MuJoCo

Soft Skills

  • Good German and English skills.

Job Description

Physical AI is transforming automation fundamentally. Our team at the BMW Group applies cutting-edge breakthroughs in robot learning to automate complex assembly tasks directly on factory lines. We work in a fast-paced environment with state-of-the-art hardware and exciting innovation projects. What awaits you? * You will support applied research in Embodied AI for automating assembly tasks. * Furthermore, you help develop architectures and algorithms for robot learning. * In addition, you contribute to evaluating and testing approaches on state-of-the-art robotic hardware. * Moreover, you will assist in exciting innovation projects in industrial robotics. * You collaborate with a small, motivated team in a fast-paced environment.

Requirements

  • Studies in robotics, computer science, electrical engineering or a related field.
  • Experience with Python, ROS and PyTorch.
  • Technical foundations in reinforcement learning, behavior cloning, deep learning, robot task planning, MDPs, MPC or teleoperation.
  • Experience in simulation environments such as Isaac Sim or MuJoCo.
  • Experience in working with real or simulated manipulators.
  • Contributions to scientific publications are a plus.
  • Good German and English skills.

Related Field

  • AI & Machine Learning

Related Subfield

  • Robotics & Autonomous Systems

Languages

  • German
  • English

Nice to Haves

  • Contributions to scientific publications are a plus.
▶Apply Now

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