Senior/Research Assistant

obDescription

ResearchAssistant / Senior Research Assistant

RoleOverview

We are seeking a ResearchAssistant / Senior Research Assistant where in the role spans softwaredevelopment, applied AI/machine learning, robot autonomy and systemsintegration — developing algorithms and deploying them on physical robotplatforms in laboratory and real-world settings.

KeyResponsibilities

• Software development — design,develop and maintain robot software in Python and C++ within ROS / ROS 2,including simulation environments, data pipelines and supporting tools.

• AI and machine learning — implement,train and evaluate models for perception and decision making; apply deep,reinforcement and imitation learning, and support sim-to-real transfer ontohardware.

• Robot autonomy — developand tune localisation, mapping (SLAM), path and coverage planning, motioncontrol and obstacle avoidance for operation in dynamic environments.

• Systems integration — integratesensors, actuators, embedded controllers and compute units into complete robotsystems; bring up, calibrate and troubleshoot hardware.

• Testing and deployment — planand run laboratory experiments and field trials at deployment sites, includingcommissioning, on-site debugging and analysis of trial data.

• Research output — contributeto technical reports, milestone deliverables, demonstrations and publications;maintain documentation and comply with institutional safety and researchintegrity requirements.

Requirements

Essential

• Bachelor’s degree in Engineering, ComputerScience, Electrical / Electronics Engineering, Mechatronics, Robotics or arelated discipline.

• Strong programming ability in Python and/orC++; working knowledge of ROS / ROS 2 and core robotics concepts.

• Familiarity with machine learning fundamentalsand a modern deep learning framework (e.g. PyTorch, TensorFlow).

• Competence with Linux, Git and standarddevelopment tooling; hands-on aptitude with robot hardware and sensors.

• Good written and spoken English; willingnessto conduct trials at off-campus deployment sites.

Desirable

• Experience with mobile or service robotautonomy stacks, computer vision, sensor fusion, or simulators such as Gazeboor Isaac Sim.

• Exposure to embedded and edge computeplatforms (e.g. NVIDIA Jetson), Docker, or full-stack development.

• Publications, open-source contributions, orprior research laboratory and field deployment experience.