Internship R&D
Sereact
InternshipGerman needed: none
Still open on 1 NovWhat you'll do
- Develop and evaluate task decomposition methods for complex robotic manipulation tasks.
- Investigate multimodal sensor fusion (e.g., vision, force, tactile) techniques to improve policy learning.
- Implement and benchmark imitation learning pipelines using both simulated and real-world robotic setups.
- Collaborate with our engineering team to transfer research outcomes to prototype systems.
- Document and present findings to both technical and non-technical stakeholders.
What you need
- Enrolled in a Master’s or PhD program in Robotics, Machine Learning, Computer Vision, or a related field with a minimum GPA of 1.7 (German scale).
- OR GitHub repository with at least 5 stars
- Familiarity with reinforcement learning, imitation learning, or behavior cloning methods.
- Hands-on experience with robotic platforms or simulation environments (e.g., PyBullet, Isaac Gym).
- Strong programming skills in Python; familiarity with PyTorch or TensorFlow is a plus.
- Excellent problem-solving skills and the ability to work independently.
What you get
- Flexible working hours
- Option to work from home when needed
- A motivated team and an open corporate culture