Lecturer/Snr Lecturer (Robotics & Embodied AI) - School of IT

As academic staff, you will play an active role in the academic, professional and personal development of your learners to prepare them for work & life. Responsibilities • As academic staff, you will play an active role in the academic, professional, and personal development of your learners to prepare them for work and life. • What you will be working on• Design, evaluate, and enhance course curricula, and co-develop training content with industry partners to ensure relevance to evolving industry needs. • Teach and supervise project for PET and CET courses, including professional short courses. • Spearhead and identify new opportunities, initiatives, and collaborations with the industry. • Plan, lead, manage, and undertake Embodied AI projects with industry partners. #LI-Hybrid Requirements • At least 2 years of relevant working experience in Robotics and Embodied/Physical AI. • Relevant qualifications in Robotics, Mechanical/Electronics Engineering, Computer Science, or related domains of study. • Technical expertise and track record in the following areas (ideally two or more)• Robotics Training Data Pipeline: Data acquisition for robot training, synchronization, calibration, evaluation harnesses and simulation data pipelines • Perception and Sensor Fusion: 3D scene understanding, manipulation-centric perception • Simulation: digital twin creation for robot training, synthetic data generation, sim-to-real transfer, familiarity with Isaac Sim • Policy Learning and foundation models: Imitation and reinforcement learning, cross-embodiment generalisation, vision-language action and world action models • System Integration and Deployment: ROS2 systems integration, runtime robustness, safety and field deployment optimization • Good communication and interpersonal skills, with the ability to demonstrate empathy and connect effectively with diverse learners. • Candidates with practical experience in designing and implementing embodied AI solutions in an industry setting would be advantageous.