Research Fellow (Software, AI & Autonomous Systems)

Required Qualifications

PhD in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, or related disciplines.

Key Responsibilities

Develop AI, machine learning, optimisation, and decision-support algorithms.
Design perception and sensor fusion frameworks using cameras, LiDAR, depth sensors, and other sensing technologies.
Develop object detection, segmentation, tracking, and pose estimation algorithms for material handling applications.
Develop navigation, localisation, path planning, and collision avoidance algorithms.
Build digital twin environments and physics-based simulation models.
Develop autonomous material handling and stacking logic for irregular and deformable materials.
Implement system monitoring, safety supervision, and fault detection algorithms.
Conduct simulation studies, performance evaluations, and algorithm validation.
Develop and apply Generative AI, Embodied AI, and Physical AI frameworks
Support software integration with robotic hardware and control systems.
Work closely with stakeholders, end users, industry partners and multidisciplinary research teams.

Preferred Skills

Python, C++, ROS/ROS2.
Computer Vision (OpenCV, Deep Learning).
AI/ML frameworks (PyTorch, TensorFlow).
Digital Twin and simulation tools (Isaac Sim, Gazebo, MuJoCo, CoppeliaSim), proof of concept testing.
Autonomous navigation and motion planning.
Sensor fusion and perception systems.
Multi-objective optimisation and AI-based decision-making.
Experience with robotic manipulation and autonomous systems is advantageous.
Experience in Generative AI, Embodied AI, Physical AI, Foundation Models, Vision-Language-Action (VLA) Models, Reinforcement Learning, and AI-driven robotic autonomy is advantageous.

The successful candidate will contribute to the development of intelligent software, AI algorithms, perception systems, digital twin simulations, optimisation frameworks, and autonomous decision-making capabilities for robotic systems involved in the handling, moving, and stacking of various materials with different shapes, sizes, and weights within confined spaces.