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 publicationsmaintain 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.