The Department of Mechanical Engineering (ME) at the National University of Singapore (NUS) invites applications for a full-time Senior Lecturer position in the area of Robotics and Machine Intelligence. This is an Educator Track position for individuals passionate about undergraduate and graduate teaching, student mentoring, curriculum development, and educational innovation.

This role supports the department’s key academic programmes, including:

• The BEng (Robotics and Machine Intelligence) – an interdisciplinary direct honours programme hosted by NUS ME;
• The BEng (Mechanical Engineering) – with a focus on control systems, mechatronics, and the robotics specialisation track;
• The MSc (Robotics) – an applied graduate programme preparing students for advanced careers in intelligent automation and robotics industries.

Scope of Responsibilities

Teaching & Curriculum Development

• Deliver undergraduate and graduate modules in areas such as:
  • Fundamentals of Robotics
  • Control Systems and Mechatronics
  • AI and Machine Learning for Robotics
  • Embedded Systems and Intelligent Sensors
  • Robot Perception and Decision-Making
• Contribute to the design, review, and refinement of curricula across BEng (RMI), BEng (ME), and MSc (Robotics).
• Develop and supervise hands-on, project-based learning activities, including capstone projects, laboratory modules, and industry-linked challenges.

Mentorship & Student Engagement

• Mentor undergraduate and graduate students on academic development, design projects, and professional pathways.
• Guide student teams participating in competitions, start-up ventures, or applied R&D.

Educational Innovation & Leadership

• Pioneer new instructional approaches including flipped classrooms, experiential learning, and interdisciplinary integration.
• Participate in university- and faculty-level teaching committees, curriculum review panels, and digital education initiatives.

Qualifications

Essential:

• D. in Mechanical Engineering, Robotics, Mechatronics, Electrical/Computer Engineering, or related disciplines.
• Demonstrated excellence (or strong potential) in undergraduate and/or graduate-level teaching, particularly in robotics, control systems, and intelligent automation.
• Strong foundation in programming and systems integration (e.g., C/C++, Python, ROS, MATLAB/Simulink, microcontrollers).
• Familiarity with modern AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and their integration with robotic platforms.

Preferred:

• Experience in teaching multi-disciplinary cohorts, or designing and delivering project-based learning.
• Proven experience or demonstrated potential in applying AI and machine learning techniques to robotics, control, or automation systems.
• Research background that bridges robotics and intelligent systems, such as autonomous systems, reinforcement learning, perception, or cognitive robotics.
• Familiarity with industry-grade robotic platforms, simulation environments, and machine learning toolkits.
• Exposure to industrial applications of robotics (e.g., AMRs, industrial automation, assistive robotics) is a plus.
• Experience supervising FYPs, MSc theses, or leading capstone courses.

Why Join NUS Mechanical Engineering?

• Global Ranking: Ranked #9 worldwide in Mechanical, Aeronautical & Manufacturing Engineering (QS 2025).
• Academic Ecosystem: Home to over 60 faculty members, with deep collaborations across NUS faculties, research centres, and global partners.
• Robust Teaching Infrastructure: Access to modern labs, the Advanced Robotics Centre (ARC), and a rich maker ecosystem.
• Support for Educators: Structured educator-track progression, teaching innovation grants, and pedagogical training opportunities.
• Interdisciplinary Reach: Opportunities to collaborate with Electrical & Computer Engineering, Computer Science, AI Labs, and Industry 4.0 initiatives.

Application Process

Interested candidates are invited to submit the following documents to:
📧 me_career@nus.edu.sg

1. Cover Letter – summarizing your teaching interests, motivation, and fit with this role.
2. Curriculum Vitae (CV) – detailing academic qualifications, teaching experience, and relevant technical skills.
3. Teaching Statement (max 2 pages) – outlining your teaching philosophy, past achievements, and future aspirations.
4. Names and Contact Information of Three Referees – including one referee who can comment on your teaching

📅 Application Review: Applications are reviewed on a rolling basis. Early submissions are strongly encouraged.

About Singapore and NUS

NUS is Asia’s leading research university and a global centre for technological and educational innovation. Singapore offers an exceptional quality of life, strong support for R&D and education, and vibrant opportunities for industry-academic collaboration in robotics, AI, and smart systems.

Join us in educating the next generation of robotics innovators and intelligent systems engineers.
Teach. Lead. Inspire.

🌐 Learn more at: https://cde.nus.edu.sg/me

📍 Department of Mechanical Engineering
National University of Singapore
Block EA, #07-08, 9 Engineering Drive 1, Singapore 117575