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Lecturer / Senior Lecturer (Edge Systems Architect)

sggovterp · Nanyang Polytechnic

New
Senior 🇬🇧 English
Python Go Java JavaScript Docker Kubernetes AWS IoT Azure IoT Edge Google Cloud IoT

Job description

About the role

Nanyang Polytechnic is seeking a dynamic and experienced Lecturer or Senior Lecturer in Edge Systems Architecture for its School of Engineering. The role covers teaching, curriculum development and industry engagement in the fast-moving field of edge computing and distributed systems.

Key responsibilities

  • Develop and deliver industry-relevant curriculum in edge computing, IoT architectures, distributed systems, cloud-edge integration, embedded systems and related programming languages or frameworks.
  • Run practical laboratory sessions, projects and assessments to build students' hands-on skills in designing, deploying and managing edge systems.
  • Mentor and supervise student projects, internships and final-year projects, and liaise with students in local and overseas attachments.
  • Engage with industry partners to bring real-world scenarios into teaching and take part in curriculum review and development.
  • Contribute to outreach programmes, faculty development and school initiatives such as Open House.
  • Carry out applied research or industry consultancy projects where applicable, and keep up to date with edge computing technologies, standards and best practices.

Required profile

  • Degree or postgraduate qualification in Electrical and Electronics Engineering, Computer Engineering, Computer Science or a related field.
  • At least 3 years of industry experience for a Lecturer, 5+ years for a Senior Lecturer, in designing, developing or deploying edge computing solutions, IoT systems or distributed architectures.
  • Prior teaching experience at a tertiary institution or corporate training experience is an advantage.
  • Excellent communication, presentation and interpersonal skills, and ability to work in a team and with industry partners.

Required skills

  • Knowledge of edge device management, edge AI, real-time data processing and network protocols for edge.
  • Containerisation tools such as Docker and Kubernetes for edge, and cloud platforms such as AWS IoT, Azure IoT Edge and Google Cloud IoT.
  • Programming languages such as Python, C/C++, Go, Java and JavaScript, and relevant frameworks and tools.

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Source : ats:workday

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Published 8 hours ago

Expires 1 month from now

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sggovterp

Nanyang Polytechnic