School of Engineering - Research Staff (AI & Software Devt …, Singapore

The incumbent will support applied research, industry collaboration, and laboratory operations through the design, development, and deployment of AI‑enabled software solutions, with a focus on computer vision, mobile (Android) applications, and intelligent automation for smart logistics and supply chain use cases. The role involves hands‑on AI model integration, software development, system prototyping, and technical support for industry‑facing projects and innovation labs.

• AI & Computer Vision Development
  • Design, develop, and deploy AI‑driven computer vision solutions using libraries such as OpenCV and machine learning frameworks, supporting use cases including object detection, tracking, localisation, and visual analytics.
  • Implement and integrate AI models into real‑world applications, including vision‑based decision‑support and automation systems.
  • Support data preparation, experimentation, and evaluation of AI models for applied research and proof‑of‑concept projects.
• Mobile & Application Development
  • Develop and maintain Android and cross‑platform mobile applications that interface with AI and computer vision components.
  • Build backend services and APIs to support AI‑enabled mobile and web applications using modern frameworks.
  • Integrate AI services into applications for real‑time inference and analytics.
• Intelligent Automation & Systems Integration
  • Support integration of AI, computer vision, and automation technologies with robotics, smart devices, and operational systems.
  • Contribute to feasibility studies and pilots involving AI‑enabled automation, autonomous systems, and smart monitoring solutions.
  • Assist in translating AI prototypes into deployable or licensable solutions.
• Industry Projects & Applied Research
  • Participate in end‑to‑end delivery of AI‑focused industry consultancy and applied research projects with SMEs, MNCs, and government agencies.
  • Provide technical input on AI solution design, architecture, and implementation during stakeholder engagements.
  • Support deployment, testing, documentation, and post‑deployment technical support of AI solutions.
• Lab, Platform & Showcase Support
  • Maintain and enhance AI, automation, and digital platforms within the supply chain and innovation laboratories.
  • Support AI and technology demonstrations for lab visits, innovation showcases, and partner engagements.
  • Assist in curating applied AI use cases for industry and academic audiences.
• Knowledge Sharing & Enablement
  • Support lecturers and project teams in developing AI‑related teaching materials, demonstrations, and applied learning resources.
  • Contribute to technical documentation, AI solution guides, and internal knowledge repositories.

• Tertiary Education in Computer Science, Artificial Intelligence, Information Technology, Engineering, or related disciplines.
• Minimum 4 years of relevant working experience in software development, applied AI, computer vision, or mobile application development.
• Candidates with strong hands‑on experience in AI‑enabled systems, computer vision, or intelligent automation projects will be preferred.

• Artificial Intelligence & Machine Learning: Practical experience applying AI/ML concepts in real‑world projects, particularly in computer vision or intelligent automation contexts.
• Computer Vision: Experience with OpenCV or equivalent libraries for image processing, object tracking, or visual analytics.
• Mobile Development: Experience in Android application development (native or cross‑platform such as Flutter).
• Programming: Proficiency in languages such as Python, Java, C#, JavaScript, or equivalent.
• Backend & APIs: Experience building RESTful services to support AI‑enabled applications.
• Data & Tools: Familiarity with data handling, version control (Git), and deployment tools is advantageous.

• Experience in applied AI, computer vision, robotics, or intelligent automation projects.
• Exposure to industry‑facing AI solutions, pilots, or consultancy work.
• Experience working in innovation labs, applied research centres, or public‑sector projects is a plus.

• Strong analytical and problem‑solving skills, especially in translating AI concepts into practical solutions.
• Ability to work independently and collaboratively in multidisciplinary project teams.
• Good communication skills to explain AI and technical concepts to non‑technical stakeholders.
• Detail‑oriented with a strong sense of ownership for AI and software deliverables.