Research Intern - Robotics and Machine Learning
About the Role
We are excited to announce an opportunity for a Research Intern in our Robotics and Machine Learning team. This Research Intern - Robotics and Machine Learning position is perfect for students or early-stage researchers eager to dive into the world of robotics and automation. You will be part of a groundbreaking team that is redefining how robots interact with their environments, moving beyond traditional lab settings into real-world applications.
What You'll Do
- Develop and evaluate task decomposition methods for complex robotic manipulation tasks.
- Investigate multimodal sensor fusion techniques, including vision, force, and tactile sensors, to enhance policy learning.
- Implement and benchmark imitation learning pipelines using both simulated and real-world robotic setups.
- Collaborate with our engineering team to translate research outcomes into prototype systems.
- Document and present findings to both technical and non-technical stakeholders.
Requirements
- Must be 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).
- Alternatively, a GitHub repository with at least 5 stars is acceptable.
- 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.
Nice to Have
- Experience with industrial automation challenges.
- Knowledge of advanced machine learning techniques.
What We Offer
- Flexible working hours to accommodate your schedule.
- Option to work from home when needed.
- A motivated team and an open corporate culture that fosters innovation.
This Research Intern position offers a unique opportunity to work on cutting-edge robotics and machine learning projects. With flexible hours and a collaborative team environment, it's an excellent chance for students to gain practical experience.
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