Lecturer (Applied Artificial Intelligence) / School of Informatics & IT

Public Service Division

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+

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Job summary

Public Service Division is seeking a Lecturer (Applied Artificial Intelligence) in the School of Informatics & IT to deliver both face-to-face and online courses for full‑time and part‑time learners. The role emphasizes practical Computer Vision applications, including image processing, object detection, facial recognition, and video analytics.

The successful candidate will supervise student projects, mentor learners, and collaborate with industry partners on AI and CV initiatives, while staying

Qualifications

  • Academic qualifications in CS, SE, AI, or related field.
  • At least 2 years of professional experience in application development or AI with CV focus.
  • Hands-on experience with DL frameworks for vision models.
  • Proficiency with OpenCV or similar libraries.

Responsibilities

  • Deliver lessons face‑to‑face and online for full/part‑time courses.
  • Design and update teaching materials with CV focus (image processing, object detection, facial recognition, video analytics).
  • Supervise student projects and foster independent learning in deep learning for vision and multi‑modal AI.
  • Evaluate assignments and provide constructive feedback to support learning outcomes.
  • Mentor and coach students to enhance academic and professional development.
  • Stay updated on trends in Computer Vision, ML, and AI.
  • Collaborate with colleagues and industry on AI/Computer Vision projects.

Skills

Computer Vision
Python
Java
JavaScript
C#
OpenCV
Deep Learning
TensorFlow
PyTorch
Keras
Communication
Teamwork

Education

Bachelor’s degree in Computer Science / Software Engineering / Artificial Intelligence

Tools

TensorFlow
PyTorch
Keras
OpenCV

Job description

[What the role is]

Lecturer (Applied Artificial Intelligence) / School of Informatics & IT

[What you will be working on]

  • Deliver lessons in both face-to-face and online formats for full-time and/or part-time courses.
  • Design, develop, and update teaching materials and assessments, with a focus on practical applications of Computer Vision such as image processing, object detection, facial recognition, and video analytics.
  • Supervise student projects and foster independent learning in areas including deep learning for vision, visual recognition systems, and multi-modal AI.
  • Evaluate student assignments and academic performance, providing constructive feedback to support learning outcomes.
  • Mentor and coach students to enhance their academic and professional development.
  • Stay informed about the latest trends and advancements in Computer Vision, Machine Learning, and Artificial Intelligence.
  • Collaborate with colleagues and industry partners on AI and Computer Vision-related projects, contributing to applied research and innovation.

[What we are looking for]

  • Possess relevant academic qualifications in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
  • Minimum of 2 years of professional experience in application development and/or Artificial Intelligence, with demonstrated expertise in Computer Vision, including: image and video analysis, pattern recognition, and visual perception tasks.
  • Hands‑on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, applied to vision models (e.g., convolutional neural networks, object detection, image segmentation).
  • Proficiency with open-source Computer Vision libraries such as OpenCV or equivalent.
  • Skilled in at least two programming languages (e.g., Python, Java, C#, JavaScript), with strong proficiency in Python preferred.
  • Passionate about sharing knowledge and engaging with both youth and adult learners.
  • Excellent communication and interpersonal skills.
  • A collaborative team player with the ability to work effectively with colleagues and industry partners.
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