Lecturer in AI, Data Science & Computing Education

ntu

Singapore

On-site

SGD 60,000 - 90,000

Full time

2 days ago
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Job summary

Nanyang Technological University, Singapore (NTU Singapore) invites applications for Lecturer or Senior Lecturer positions in the College of Computing and Data Science. The roles emphasize teaching excellence, curriculum design, and student guidance across AI, software engineering, and data science topics.

The successful candidates will contribute to undergraduate and graduate teaching, course development, and student mentoring, with opportunities to engage in research collaboration within a

Qualifications

  • Passionate about teaching and learning.
  • Hold a PhD or at least a Master's in related disciplines with excellent communication skills.
  • Industry experience and university teaching ability are desirable.

Responsibilities

  • Facilitates and conducts all teaching assignments, face-to-face and virtual.
  • Develops curricula, course outlines, content, and assessment instruments to foster student learning.
  • Designs course outlines and ensures they meet college standards for each course.
  • Supports course administration including evaluation, materials, attendance, and academic counselling.
  • Conducts assessments, grading, and feedback sessions with students.
  • Develops learning resources (lectures, tutorials, labs, projects, quizzes, exams) for delivery.
  • Provides regular student progress statistics for reporting and planning.
  • Supervises undergraduate and graduate students on projects and research.

Skills

AI Ethics
Software Eng
Algorithms
Cybersecurity
Embedded Systems
IoT
Digital System Design
UX/UI Design

Education

PhD or Master’s degree in related disciplines

Job description

Nanyang Technological University, Singapore (NTU Singapore) invites applications for Lecturer or Senior Lecturer positions in the College of Computing and Data Science. The roles emphasize teaching excellence, curriculum design, and student guidance across AI, software engineering, and data science topics.

The successful candidates will contribute to undergraduate and graduate teaching, course development, and student mentoring, with opportunities to engage in research collaboration within a

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