Lecturer/Senior Lecturer (Intelligent Robotics)- Sch of Engineering

Public Service Division; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Public Service Division seeks a lead educator to strengthen embodied AI capability through hands-on robotics, mechatronics and simulation. You will design curricula, develop course content, and supervise student projects that integrate intelligent perception, learning, and control in physical robotic systems.

You will mentor learners, lead industry collaborations, and participate in outreach and educational activities to advance engineering practice and applied research in embodied intelligent

Qualifications

• Relevant qualification in Engineering or 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 listed areas.
• Strong problem-solving and communication skills.
• Ability to translate hands-on system development experience into effective teaching and learning experiences.

Responsibilities

• Deliver PET and CET curricula and develop course content in Embodied AI, Mechatronics, Electronics, Mechanical Design, and Advanced Simulation & Modelling.
• Design and maintain learning units focused on Embodied AI with intelligent perception, learning, and control in physical systems.
• Supervise and mentor learners on applied Embodied AI projects integrating sensing and actuation.
• Coach learners and contribute to learner development and capability-building activities.
• Identify and spearhead industry collaborations, applied research and innovation in embodied and intelligent systems.
• Plan and manage industry and applied projects involving Embodied AI and intelligent mechatronic systems.

Skills

Embodied AI

Robotics

Mechatronics

Electronics

Mechanical Systems

Simulation

Problem solving

Communication

Teaching / training

Education

Engineering or related discipline

Job description

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:
• 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.