Robotics Learning Intern & Master’s Thesis (Winterthur)

Binabik; Winterthur; Vor Ort; CHF 20.000 - 27.000; Vollzeit

Benefits dieser Stelle

Paid internship

Mentoring

Hardware access

Thesis collaboration possible

Office at Technopark Winterthur

Zusammenfassung

Binabik AI is seeking a Master’s or PhD student to join our robot learning team and improve how efficiently our robots learn from demonstrations. You’ll work on learning-based manipulation for machine tending and logistics, including imitation learning, RL in simulation and sim-to-real transfer, and you’ll evaluate results on our AgiBot G2 and Galaxea R1 Pro.

You’ll define your project with your mentor in the first week, based on your interests and our roadmap.

Qualifikationen

• Enrollment in a Master’s or PhD program in robotics, CS, ML, mechanical or electrical engineering, or a related field.
• Strong Python and PyTorch skills.
• Project or thesis experience in imitation learning, RL, generative models, or robot manipulation.
• Ability to read recent papers and implement methods.
• Patience debugging on real hardware.

Aufgaben

• Own a research project from literature review to new method and real-robot experiments.
• Train and evaluate on GPU compute, in simulation and on hardware.
• Collect data with demonstration and teleoperation setups.
• Share learnings with the team and potentially publish or open-source release.

Kenntnisse

Python

PyTorch

Imitation learning

Reinforcement learning

Robot manipulation

Ausbildung

Master's or PhD student in robotics/CS/ML/mechanical or electrical engineering

Tools

MuJoCo

LeRobot

ROS 2

Jobbeschreibung

Binabik AI is seeking a Master’s or PhD student to join our robot learning team and improve how efficiently our robots learn from demonstrations. You’ll work on learning-based manipulation for machine tending and logistics, including imitation learning, RL in simulation and sim-to-real transfer, and you’ll evaluate results on our AgiBot G2 and Galaxea R1 Pro.

You’ll define your project with your mentor in the first week, based on your interests and our roadmap.