Working Student (f/m/d) Robotics Data & Teleoperation
15.07.2025
Siemens AG
Garching
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15.07.2025, Siemens AG
Garching
Working Student (f/m/d) Robotics Data & Teleoperation
Aufgaben:
- In our team you will master teleoperating of diverse robots (cobots, humanoid robot) to perform contact-rich manipulation tasks, generating interaction data for imitation learning
- You will plan and execute data collection, organize, label, and prepare datasets specifically for training imitation learning models
- You will participate in evaluating models trained on your collected data, providing feedback to our research teams
- Moreover, you will launch your robotics career with teleoperation and data expertise. Evolve into programming roles supporting our imitation learning pipelines, with opportunities for a Bachelor's or Master's thesis
Qualifikationen:
- You are pursuing a Bachelor's or Master's degree in Computer Science, Robotics, Engineering, Data Science, or a related technical field, with a strong academic record
- You're organized, detail-oriented, and tech-savvy with excellent problem-solving skills. You learn quickly, take initiative, and can independently manage data collection and evaluation workflows
- Proficiency in Linux, Git, and Python is required
- Ideally you understand robotics concepts (kinematics, dynamics)
- Familiarity with Machine Learning concepts, especially Imitation Learning, complete you profile
- If you're excited to teleoperate robots and build datasets that teach them complex, contact-rich tasks, apply now!
Wir bieten:
- As a working student at Siemens, you have the opportunity to actively contribute in various areas and fully apply your skills.
- Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let's get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.
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