Building on our long-standing expertise in advanced production technologies Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robotsan advancement that will transform industrial automation manufacturing logistics and beyond.
Our mission is to create intelligent adaptable robotic systems that seamlessly integrate into real-world production environments combining cutting-edge AI research with practical robotics to enable robots to perceive learn and act with human-like flexibility. As this is a strategic new direction you will have the opportunity to shape not only the technology but also the business models that will define the future of smart manufacturing.
As a Robot Learning Intern you will work directly with our AI and robotics experts on cutting-edge research in embodied AI and Robot Learning. You will take ownership of a focused research project that forms an integral part of our robot-learning pipeline and contribute to the development of our next-generation AI robotics stack.
Tasks
- Conduct research and hands-on development for a dedicated project within our robot-learning pipeline.
- Develop and experiment with deep learning models for perception control and decision-making in robotic systems.
- Integrate and test learning-based components both in simulation and on physical robotic platforms.
Requirements
- Ongoing Masters or PhDs studies in Robotics Computer Science AI Machine Learning or a related field.
- Solid understanding of machine learning deep learning and robotics fundamentals.
- Software development skills (Python/C) practical experience with ROS2.
- Experience with modern deep learning frameworks (PyTorch JAX TensorFlow).
- Familiarity with reinforcement learning and imitation learning.
- Experience with simulation tools (MuJoCo Isaac Sim PyBullet or Gazebo).
- Good collaborative software development skills and familiarity with version control.
- Strong debugging analytical and problem-solving abilities.
- Fluent in English.
Benefits
What We Offer
- A startup-like environment within a global engineering leader ideal for engineers who want both autonomy and impact.
- Direct access to state-of-the-art humanoid and industrial robotic platforms and high-performance computing resources.
- Competitive compensation and benefits
- A collaborative international environment that values innovation and initiative.
Building on our long-standing expertise in advanced production technologies Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robotsan advancement that will transform industrial automation manufact...
Building on our long-standing expertise in advanced production technologies Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robotsan advancement that will transform industrial automation manufacturing logistics and beyond.
Our mission is to create intelligent adaptable robotic systems that seamlessly integrate into real-world production environments combining cutting-edge AI research with practical robotics to enable robots to perceive learn and act with human-like flexibility. As this is a strategic new direction you will have the opportunity to shape not only the technology but also the business models that will define the future of smart manufacturing.
As a Robot Learning Intern you will work directly with our AI and robotics experts on cutting-edge research in embodied AI and Robot Learning. You will take ownership of a focused research project that forms an integral part of our robot-learning pipeline and contribute to the development of our next-generation AI robotics stack.
Tasks
- Conduct research and hands-on development for a dedicated project within our robot-learning pipeline.
- Develop and experiment with deep learning models for perception control and decision-making in robotic systems.
- Integrate and test learning-based components both in simulation and on physical robotic platforms.
Requirements
- Ongoing Masters or PhDs studies in Robotics Computer Science AI Machine Learning or a related field.
- Solid understanding of machine learning deep learning and robotics fundamentals.
- Software development skills (Python/C) practical experience with ROS2.
- Experience with modern deep learning frameworks (PyTorch JAX TensorFlow).
- Familiarity with reinforcement learning and imitation learning.
- Experience with simulation tools (MuJoCo Isaac Sim PyBullet or Gazebo).
- Good collaborative software development skills and familiarity with version control.
- Strong debugging analytical and problem-solving abilities.
- Fluent in English.
Benefits
What We Offer
- A startup-like environment within a global engineering leader ideal for engineers who want both autonomy and impact.
- Direct access to state-of-the-art humanoid and industrial robotic platforms and high-performance computing resources.
- Competitive compensation and benefits
- A collaborative international environment that values innovation and initiative.
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