Lecturer / Senior Lecturer, Data Literacy Programme

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

Join Us as a Lecturer/Senior Lecturer at the National University of Singapore (NUS)

Are you passionate about shaping the future of data literacy? Do you have a strong background in AI and Machine Learning, with a commitment to empowering others with cutting-edge skills? If so, we invite you to be part of our dynamic Data Literacy Programme (DLP) team at NUS

About the Data Literacy Programme (DLP)

The DLP is a key initiative designed to equip NUS administrative employees and participants from external organizations with critical data analytics skills, including artificial intelligence and machine learning. As part of this programme, you'll have the opportunity to make a direct impact by developing data analytics skills and preparing the workforce to thrive in an increasingly data-driven world.

Position Details

We are seeking highly motivated individuals to join us as Lecturer or Senior Lecturer for a three-year, full-time commitment. This is a unique opportunity to be part of a forward-thinking programme in one of the world's top universities.

What You'll Do

As a Lecturer/Senior Lecturer in the DLP, you will:

• Develop innovative and engaging teaching materials that bring AI and machine learning concepts to life.
• Create dynamic and interactive eLearning videos to reach a wider audience.
• Design challenging assessments that test and sharpen learners' analytical skills.
• Facilitate stimulating classroom discussions and lead hands-on sessions with diverse learners.
• Offer one-on-one consultations to help learners grasp complex concepts and excel.
• Supervise group projects that allow learners to apply their skills in real-world contexts.
• Contribute to the academic community through service activities and collaborative projects.

Why Join Us?

At NUS, we are committed to creating an inclusive and stimulating academic environment. You will work alongside dedicated colleagues, engage with motivated learners, and contribute to a programme that is shaping the future of work. Plus, you'll have the opportunity to stay at the forefront of AI and machine learning, contributing to a growing area of education.

Qualifications

What We're Looking For

We welcome applicants with a variety of academic backgrounds who share our passion for data literacy and AI and have the right qualifications:

• At least a Master's degree in data science, machine learning, artificial intelligence, statistics, mathematics, computer science, or a related field (other fields may be considered on a case-by-case basis).
• While teaching experience is a plus, we value enthusiasm and the ability to communicate complex ideas clearly.
• A collaborative mindset—you thrive working in teams and supporting learners.

Skills that Give You an Edge

We are especially interested in candidates with experience in:

• Artificial Intelligence (AI) - Knowledge of cutting-edge AI technologies is a huge advantage.
• Machine Learning - Hands-on experience with machine learning techniques.
• Work Experience - Industry work experience in cutting edge AI projects
• Python/R Programming - Proficiency in Python/R is highly valued in our programme.
• Data Visualization - Being able to make data insightful and compelling is a key skill.
  
  A passion for working with adult learners and the ability to tailor teaching to learners from different backgrounds.

Position Benefits

The opportunity to shape the next generation of data professionals.

A vibrant academic setting with support for professional growth and career development.

How to Apply

Ready to take the next step in your career? To apply, please submit the following by 15 January 2026:

1. A Cover Letter highlighting your relevant experience and motivation for the role.

2. Your Curriculum Vitae (CV) detailing your qualifications and work experience.

3. Academic Transcripts.

4. If available, any evidence of effective teaching (e.g., student feedback).

5. A Teaching Philosophy statement that describes your teaching goals and approaches

6. Teaching History: A summary of modules taught (if applicable)

1. Two Reference Letters.

(Please submit the above items 1 to 6 with your application. For item 7, instructions will be provided to successful candidates.)

More Information

Location: Kent Ridge Campus

Organization: Office of the President

Department : Data Literacy Program

Employee Referral Eligible: No

Job requisition ID : 31259