Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.
Autonomous Robotics Research Centre
Unmanned vehicles in space, in the air, on land, on sea, and underwater offer exciting opportunities to dramatically improve safety, environmental protection and operational effectiveness at lower cost in both industrial and mission-critical settings.
Our research focus includes:
• UAV research and development, covering platforms, real-time operating systems, perception and communication algorithms, control, and decision-making algorithms
• Autonomous ground vehicle research and development for on road and off road use cases
• Swarm architectures for heterogeneous drones and advanced communication networks
• Low-power platforms for nano-size and pico-size UAV classes
• Bio-inspired, evolutionary, and self-organized methodologies
Position: Researcher Applied Machine Learning for Robotics
Job Description
• Development of AI and ML solutions for robot control and decision-making tasks
• Collaborate with the lab members to define problems and implement solutions
• Create experiments and prototype implementations of new learning algorithms and prediction techniques
• Use machine learning best practices to ensure a high standard of quality for a sharable library for all of the ARRC teams
• Write efficient and documented code
Skills required for the job
• Strong mathematical background in numerical classes, control theory, linear algebra, algebra, probability theory
• Strong coding skills in Python and/or C++. Familiarity with numerical packages, boost, complexity analysis, openCV, ROS, and simulation (Gazebo, ODE, or Unity)
• Background or expertise in some of the following areas:
• Planning for robot manipulation (e.g. path and trajectory planning and optimisation, optimisation of forces)
• Control (e.g. impedance and direct force control, dynamics, trajectory control, motion planning, simulation)
• Learning (e.g. learning approaches to control and trajectory production)
• Good oral and written presentation skills
• Good problem solving ability
Qualifications
• Master degree in Robotics or a related field
