Requirements

• Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or related field
• Hands-on experience training and deploying RL-based controllers on real robotic hardware
• Familiar with modern RL techniques for continuous control
• Proficient in building and working with physics-based simulators
• Solid software engineering skills in Python, Rust, or modern C++
• Excellent communication skills
• Passionate about staying up to date with current research

Nice to Have

• PhD in Robotics, Reinforcement Learning, Control Engineering, or related field with publications in top-tier venues
• Experience developing controllers for dynamic robotic systems
• Experience with vision-based perception for robotics control
• Familiarity with low-level motor control interfaces
• Experience with online adaptation and meta-learning techniques
• Experience with sensor fusion for enhancing control policies

What You'll Be Doing

• Design, train, and deploy RL-based controllers for robots in complex environments
• Push boundaries of autonomous robotics through reinforcement learning
• Own the pipeline from simulation to deployment
• Fuse sensory inputs for adaptive control

Perks and Benefits

• Competitive salary and VSOP options
• Relocation support: up to €2,500 and 4 weeks temporary accommodation
• Learning allowance of €500/£450 yearly
• Health & wellness benefits including gym membership and mental health support
• Social events and monthly social allowances
• Enhanced parental leave for primary and secondary caregivers
• Family support with paid family emergency leave