Rl Robotics Engineer
TII · United Arab Emirates
Research instituteonsite
At a glance
Highlights
- Build MARL frameworks for coordination in multi-drone systems.
- Design scalable systems for complex distributed control problems.
- Bridge simulation-to-real transfer for robotics and aerial vehicles.
Ideal candidate
Research-driven engineer passionate about autonomy and swarm intelligence who thrives bridging theory to real-world drones and loves tackling complex distributed control challenges.
Requirements
- Master's or PhD in Computer Science, Robotics, AI/ML or related field
- Proven track record implementing RL algorithms for robotics or UAV applications
- Strong expertise in multi-agent systems, swarm robotics and real-world control
- Experience bridging simulation and real-world deployment
- Strong understanding of policy-gradient methods, Q-learning, actor-critic and hierarchical RL
- Experience deploying RL models in robotics middleware (ROS2, PX4, MAVSDK)
Lab profile
About TII
Abu Dhabi-based applied research institute developing breakthroughs in AI, quantum, cryptography, and autonomous systems.
What they build
- Falcon open-source large language models
- Quantum computing and communications systems
- Cryptography and post-quantum security tools
Known for
- Leader in open-source frontier AI models
- Multidisciplinary applied research at scale
- Global team of leading scientists and engineers
- State-of-the-art Masdar City facilities
Key facts
- Founded in 2020
- Headquartered in Abu Dhabi, UAE
- Backed by Advanced Technology Research Council
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