Job Description
A research internship focused on applying reinforcement learning techniques to develop and optimize autonomous navigation capabilities for the ANYmal quadruped robot in industrial environments, involving simulation and real-world testing under mentorship from robotics experts.
Key Responsibilities
- Define, train, and integrate reinforcement learning models for robotic navigation
- Evaluate and fine-tune RL-based navigation policies in simulation and on real robots
- Contribute to advancing the mobility capabilities of ANYmal robot in industrial environments
Requirements
- The candidate must be enrolled in a University.
- The internship must be mandatory and supported by a letter from a university for Non-EU applicants.
- The candidate must reside in Switzerland (CH) or be an EU applicant for internships.
- The candidate must be eligible for a work permit or have a residence permit (for CH residents).
- The candidate must have a strong interest or background in Reinforcement Learning, Machine Learning, or related fields relevant to robotic navigation.
- The candidate must have the ability to evaluate and fine-tune state-of-the-art RL-based navigation policies in simulation and on real quadruped robots.
- The internship duration is six months, starting any time of the year, always on the 1st of the month.
- The internship is full-time (100% workload) and onsite.
- The candidate must demonstrate technical skills relevant to robotics, machine learning, or software development, as applicable to the role.
Benefits & Perks
Full-time paid internship
Onsite work environment
Opportunity to work with cutting-edge robot technology and machine learning
Mentorship from robotics experts and research partners
Real-world experience in robotics and AI
Work in a fast-paced, interdisciplinary environment
Potential for flexible start dates (any time of the year, always on the 1st of the month)
Duration of six months
Ready to Apply?
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