Lecturer/Snr Lecturer (Edge AI Solution)-Sch of Engineering

Nanyang Polytechnic; Singapore; On-site; SGD 56,000 - 78,000; Full time

Job summary

Nanyang Polytechnic in Singapore seeks a dynamic Lecturer/Senior Lecturer in Edge AI Product Development to deliver, mentor and advance edge AI solutions on embedded hardware, bridging theory and hands-on practice.

You will design curricula, supervise capstone projects, engage with industry, and contribute to applied R&D while teaching Diploma and CET modules. The role blends teaching excellence with research and administration to empower students in Edge AI, IoT, and distributed systems.

Qualifications

• Degree or postgraduate qualification in Electronic Engineering, Computer Science or related fields.
• Minimum 3–5 years in software development, AI application development, or product engineering.
• Hands-on ML/deep learning experience and edge AI deployment.

Responsibilities

• Deliver lectures, tutorials and lab sessions across Diploma and CET programmes.
• Adopt project-based learning, flipped classrooms and blended e-learning spaces.
• Supervise and mentor students during final-year projects and capstone assignments in Edge AI, IoT and distributed architectures.

Skills

Edge AI

Project-based learning

Flipped classroom

Curriculum design

Education

Bachelor's degree or postgraduate qualification in Electronic Engineering, Computer Science or related fields

Tools

PyTorch

TensorFlow

YOLO

OpenCV

NVIDIA Jetson

JetPack SDK

CUDA

TensorRT

MicroPython

Job description

What the role is:

Nanyang Polytechnic is seeking a dynamic and experienced Lecturer/Senior Lecturer in Edge AI Product Development to contribute to our School of Engineering. In this role, you will develop, optimise and deploy intelligent system solutions directly on the edge devices using machine learning algorithms and single board computing devices and microcontrollers. This role also involves teaching and mentoring students across both PET (Diploma) and CET (Adult Learning) programmes using modern pedagogical approaches, curriculum development in emerging technology domains, industry engagement, applied research, and academic administration.

What you will be working on:

Instructional Delivery & Facilitation

• Deliver lectures, tutorials and laboratory sessions across full-time Diploma programs (PET) and adult workforce upskilling modules (CET).
• Adopt diversified pedagogical frameworks, including project-based learning, flipped classrooms, and blended e-learning spaces.
• Supervise and mentor students during final-year projects, multi-disciplinary capstone assignments, and professional internship placements, particularly in Edge AI, IoT systems, and distributed architectures.

Curriculum Design & Development

• Design, review, and revitalize instructional resources, module structures, and assessment rubrics aligned to emerging industry practices in Edge AI and distributed systems.
• Develop hands-on lab modules involving embedded AI deployment, IoT telemetry pipelines, and hardware acceleration platforms.

Industry Engagement & Applied Research

• Establish partnerships with industry players in Edge AI, IoT, and smart infrastructure.
• Contribute to applied R&D and industry partnership in areas such as edge AI, digital twin systems can smart connected systems.

Student Development & Administrative Duties

• Mentor students in technical and career development.
• Perform academic administration duties including assessment tracking and quality assurance.

#LI-Hybrid

What we are looking for:

• Education: Degree or Postgraduate qualification in Electronic Engineering, Computer Science or related fields.
• Industry Experience: Minimum 3–5 years in software development, AI application development, or product engineering.

(Candidate should demonstrate strong proficiency in the following areas)

Computer Vision and AI Framework

• 1–2 years of hands-on experience in machine learning, deep learning, or computer vision application development.
• Familiarity with frameworks such as PyTorch, TensorFlow, YOLO, or OpenCV for object detection, image classification, segmentation, or object tracking.
• Experience with image annotation tools and preparing datasets for AI model training.
• Basic knowledge of common dataset formats such as YOLO and COCO, including dataset conversion and augmentation.
• Familiarity with Python and basic AI model training, testing, and performance evaluation.
• Some practical exposure to NVIDIA Jetson or similar edge AI platforms, including the use of JetPack SDK, CUDA, TensorRT, or equivalent tools for deploying AI models.
• Basic experience in microcontroller programming using MicroPython or C/C++ for IoT applications, including interfacing with sensors or communication devices.
• Exposure to LLMs, Vision-Language Models (VLMs), or agentic AI frameworks would be an advantage.
• Exposure to deploying AI models on edge devices or GPU-based systems would be an added advantage.

About Nanyang Polytechnic

Nanyang Polytechnic is committed to providing quality education and training to prepare our graduates for life and work, equipping them to contribute to the technological, economic and social development of Singapore. Nanyang Polytechnic will harness our resources and expertise to offer manpower development programmes and services to business and industry in support of Singapore's national development.