Senior Lecturer

4 days ago

Singapur, Singapore National University of Singapore Full time

Overview

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

Key Responsibilities
  • Deliver undergraduate and postgraduate 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.
  • 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.
  • 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:
  • A PhD degree in Robotics, Mechanical Engineering, Electrical & Computer Engineering, Mechatronics, 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.
More Information
  • Location: Kent Ridge Campus
  • Organization: College of Design and Engineering
  • Department: Mechanical Engineering
  • Employee Referral Eligible: No
  • Job requisition ID: 30070
Details
  • Seniority level: Not Applicable
  • Employment type: Full-time
  • Job function: Education and Training
  • Industries: Higher Education, Education Administration Programs, and Strategic Management Services
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