Nanyang Technological University
3 weeks ago
Part-Time Lecturer for PhD Programme Course CV7003 in Engineering Mathematics and Machine Learning Nanyang Technological University in Singapore
Degree Level
not provided
Field of study
Computer Science
Funding
Available
Country
Singapore
University
Nanyang Technological University
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About this position
Nanyang Technological University (NTU), Singapore is advertising a part-time lecturer role for the PhD programme course CV7003 – Engineering Mathematics and Machine Learning in the School of Civil and Environmental Engineering.
This is a teaching-focused academic opening rather than a PhD, postdoc, or master’s student position. The lecturer will conduct lectures, prepare and submit editable teaching materials, administer and grade assessments and exams, and provide student consultation.
Applicants should have a Master’s degree or higher (strong relevant industry experience may be considered), 2–3 years of tertiary-level teaching experience preferred, and at least 3 years of related professional experience at managerial level. The post also asks for a proven track record and strong knowledge in the subject area, with extensive industry and/or academic experience and a passion for teaching.
Institution: Nanyang Technological University (NTU), Singapore
Location: Singapore
Course area: Engineering Mathematics, Machine Learning, Civil and Environmental Engineering
Application: Use the NTU Workday application link provided in the post.
Funding details
Available
What's required
Master’s degree or higher; candidates with strong relevant industry experience will be considered. At least 2-3 years of teaching experience at tertiary level is preferred. Minimum 3 years of professional experience in the related field at managerial level. Proven track record and profound knowledge in the teaching area, with extensive industry and/or academic experience and a passion for teaching.
How to apply
Apply via the NTU Workday job portal using the provided application link. Review the job details and submit the application through the university careers page.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.