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

Roboticsconnected

Singapore

On-site

SGD 90,000 - 150,000

Full time

6 days ago
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Job summary

Roboticsconnected seeks a role to strengthen teaching in Embodied AI and mechatronics, combining classroom instruction with hands-on system development.

You will design curricula, supervise projects, and mentor learners on real robotic platforms, fostering industry partnerships and applied research in embodied intelligent systems.

Qualifications

  • Engineering or related discipline.
  • At least 3 years of relevant industry or applied experience in Embodied AI, Robotics, Mechatronics, Electronics, Mechanical Systems, or Simulation.
  • Ability to translate hands-on system development experience into teaching and learning experiences.

Responsibilities

  • Deliver PET and CET curricula and develop course content including curriculum design, course delivery and project supervision.
  • Design, review, and maintain learning units focused on Embodied AI, including intelligent perception, learning, decision-making and control.
  • Supervise and mentor learners in applied Embodied AI projects with real robotic platforms.
  • Coach and mentor learners and contribute to learner development and capability-building activities.
  • Identify and drive industry collaborations and applied research related to embodied and intelligent systems.
  • Plan and lead industry and applied projects involving Embodied AI and intelligent mechatronic systems.

Skills

Problem solving
Interpersonal communication
Teaching ability
Curriculum development

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:

    • 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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