Part-Time Lecturer in PhD Programme, CV7003-Engineering Mathematics and...

Nanyang Technological University; Singapore; On-site; SGD 83,000 - 124,000; Part time

Job summary

Nanyang Technological University in Singapore invites applications for experienced part-time lecturers in the School of Civil and Environmental Engineering to teach in the PhD Programme. Courses include CV7003 - Engineering Mathematics and Machine Learning.

Responsibilities include lecturing, preparing materials, administering and grading assessments, and student consultations. Candidates should have a master's degree or higher, 2–3 years of tertiary teaching experience, and at least 3 years of

Qualifications

• Master’s degree or higher; candidates with strong relevant industry experience will be considered.
• At least 2-3 years of teaching experience at a tertiary level is preferred.
• Professional experience (min. 3 years) in the related field at managerial level.
• Demonstrates a profound knowledge of related course.

Responsibilities

• Conduct lectures.
• Prepare and submit editable teaching materials to the School.
• Prepare, administer and grade continuous assessments and exams.
• Student consultation.
• Any other required duties, where applicable.

Education

Master’s degree or higher

Job description

CEE Graduate Programmes Advertisement

AY2026/27

We are looking for experienced part-time lecturers with the relevant expertise to teach in the School of Civil and Environmental Engineering.

PhD Programme

Courses:

1. CV7003 - Engineering Mathematics and Machine Learning

Candidates should have a proven track-record in the area that they are teaching.

Responsibilities:

• Conduct lectures.
• Prepare and submit editable teaching materials to the School.
• Prepare, administer and grade continuous assessments and exams.
• Student consultation.
• Any other required duties, where applicable.

Applicants should have extensive industry and/or academic experience, a passion for teaching and should preferably possess the following requirements:

Requirements:

1. Master’s degree or higher; candidates with strong relevant industry experience will be considered.

2. At least 2-3 years of teaching experience at a tertiary level is preferred.

3. Professional experience (min. 3 years) in the related field at managerial level.

4. Demonstrates a profound knowledge of related course.