Editorial summary

The company is seeking a Lecturer/Senior Lecturer in Intelligent Robotics within the School of Engineering to strengthen embodied AI capabilities and the tight coupling of AI, hardware, and physical interaction. The role emphasizes hands-on development of embodied intelligent systems, including system design, mechanical construction, integration, experimentation, and validation, with applications to real-world robotics and mechatronics beyond software-only work. Candidates should have expertise in embodied AI, hardware–software integration, mechanical design and validation, and experience with system-level design and integration of intelligent robotic and mechatronic systems. Salary details are not disclosed.

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

Job description

[This job https://singapore.job-q.com/jobs/detail/lecturer-senior-lecturer-intelligent-robotics-sch-of-engineering-41125 first appeared in Job-Q.com on 02 Nov 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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