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Associate Professor (Teaching) / Senior Lecturer / Lecturer in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages

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Onsite

Associate Professor (Teaching) / Senior Lecturer / Lecturer in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages

Nanyang Technological University Singapore

Associate Professor (Teaching) / Senior Lecturer / Lecturer in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages

Skills

Machine LearningAI

3 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

21 August 2026

What they need


Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities and #5 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the college aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

CCDS invites qualified academics to apply for an Associate Professor (Teaching) / Senior Lecturer / Lecturer position in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages.

Responsibilities

  • Design and deliver high quality courses in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages that include both undergraduate and postgraduate levels. Contribute to curriculum development and enhancement to ensure students receive world class teaching education
  • Provide academic guidance and mentorship to students, fostering their intellectual and professional growth.
  • Contribute to the School and university’s service activities, including committee participation, outreach and engagement with industry partners
  • Facilitates and conducts all teaching assignments, both face-to-face and virtual delivery
  • Oversee and complete core course administrative tasks or duties such as course evaluation, online course materials, attendance records, academic counselling on student progress
  • Conducts assessments, marking and grade entries, feedback to students, student consultations, non-academic matters (eg. invigilation) etc.
  • Develops and updates course materials and learning resources for course delivery and support students' learning
  • Provides regular course and student progress statistics for reporting, improvement of students’ learning and strategic decision making
  • Demonstrates values and principles of professional conduct in all endeavours
  • Conduct impactful research in areas related to Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages and collaborate with colleagues within the department and across the university
  • Any other assigned duties

Requirements

  • Applicants should have industry and/or academic experience, a passion for teaching and preferably possess a PhD in Computer Science and Engineering.
  • Knowledge in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages
  • Candidates should demonstrate teaching/mentoring excellence and be able to engage in curriculum development and work closely with students for undergraduate courses
  • Candidates with industry experience are preferred

Equal Employment Opportunity Statement Equality, Diversity and Inclusion at NTU NTU believes in building an inclusive campus for its students, staff and faculty where diversity is respected. We strive to create diverse and inclusive environments to achieve a vibrant campus for education and a welcoming workplace for people from all backgrounds.

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