Editorial summary

The company is seeking a Lecturer or Senior Lecturer in Intelligent Robotics within the School of Engineering to enhance expertise in embodied AI, hardware integration, and physical interaction. The role involves developing embodied intelligent systems through system design, mechanical construction, experimentation, and validation, with a focus on applying AI techniques to real-world robotics and mechatronics challenges. Candidates should possess relevant experience in system-level design, integration, and hands-on development of robotic and mechatronic systems. Compensation details are not specified.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 20100 first appeared in Job-Q.com on 16 Jul 2026]

[What the role is]

This role is intended to strengthen the department’s capability in:
• Embodied AI, with emphasis on intelligent behaviour emerging from the tight coupling of AI, hardware, and physical interaction.
• Hands on development of embodied intelligent systems, including system design, mechanical construction, integration, experimentation, and validation.
• Application of AI techniques to real world robotics and mechatronics problems, beyond software only or theoretical work.
• System level design and integration of intelligent robotic and mechatronic systems, including mechanical, electrical, and control considerations.

[What you will be working on]

• Deliver PET and CET curricula, and develop course content encompassing curriculum design, course delivery, and project supervision in the areas of Embodied AI, Mechatronics, Electronics, Mechanical Design, and Advanced Simulation & Modelling.

• Design, review, and maintain learning units focused on Embodied AI, including intelligent perception, learning, decision‑making, and control in physical robotic and mechatronic systems.

• Supervise and mentor learners in applied Embodied AI projects, where AI models are integrated with sensing, actuation, and real‑world robotic platforms.

• Coach and mentor learners and contribute actively to learner development and capability‑building activities.

• Identify, initiate, and spearhead industry collaborations, applied research, and innovation initiatives related to embodied and intelligent systems.

• Plan, lead, and manage industry and applied projects involving Embodied AI and intelligent mechatronic systems, and supervise learners involved in such projects.

• Lead or represent the department in committees and undertake administrative or management duties (e.g. outreach activities, industry engagement, overseas educational trips).

[What we are looking for]

The candidate should possess the following qualifications, skills, and experience:

• A Relevant qualification in Engineering or a related discipline.

• At least 3 years of relevant industry or applied experience in engineering‑related fields such as Embodied AI, Robotics, Mechatronics, Electronics, Mechanical Systems, or Simulation.

• Demonstrated experience in one or more of the following areas:

  • Embodied AI, including intelligence arising from interaction between algorithms, hardware, and the physical environment

  • Building, integrating, or deploying intelligent robotic or mechatronic systems

  • Applying AI or machine learning techniques to robotics problems (e.g. perception, control, adaptation, autonomy)

  • Mechanical design for robotics, including actuators, manipulators, transmission mechanisms, and structural components

  • Mechatronic system design, integration, and simulation

  • Robotic systems development, including sensing, actuation, embedded control, and system integration

  • Design engineering analysis (CAE / FEA)

  • Sustainability‑driven engineering design

• Strong problem‑solving and critical thinking skills, with good interpersonal and communication abilities.

• Ability to translate hands‑on system development experience and applied engineering practice into effective teaching and learning experiences.

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