Lecturer/Senior Lecturer – Robotics & Embodied AI

About the role

The position is an academic staff role within the School of IT, focused on developing learners’ academic, professional and personal capabilities. You will prepare students for real‑world work and life by delivering cutting‑edge content in robotics and embodied artificial intelligence.

Key responsibilities

• Design, evaluate and continuously improve course curricula, co‑creating training material with industry partners to keep content relevant.
• Teach and supervise projects for PET and CET courses, including professional short courses.
• Identify and lead new initiatives, collaborations and industry partnerships.
• Plan, lead and manage Embodied AI research and development projects with external partners.
• Contribute to the broader academic community through curriculum development and mentorship.

Required profile

• Minimum of 2 years of professional experience in Robotics and Embodied/Physical AI.
• Relevant academic qualifications in Robotics, Mechanical/Electronics Engineering, Computer Science or related fields.
• Strong communication and interpersonal skills with the ability to connect with diverse learners.
• Demonstrated empathy and a commitment to student development.
• Practical experience designing and deploying embodied AI solutions in an industry setting is advantageous.

Required skills

• Robotics training‑data pipelines: data acquisition, synchronization, calibration, evaluation harnesses and simulation pipelines.
• Perception and sensor fusion: 3D scene understanding and manipulation‑centric perception.
• Simulation expertise: digital twin creation, synthetic data generation, sim‑to‑real transfer, familiarity with Isaac Sim.
• Policy learning and foundation models: imitation learning, reinforcement learning, cross‑embodiment generalisation, vision‑language action models.
• System integration and deployment: ROS2 integration, runtime robustness, safety and field‑deployment optimisation.