Lecturer (Data Literacy) at National University of Singapore

Q: What qualifications do I need for the Lecturer (Data Literacy) role?

The essential requirement is a PhD in Statistics, Mathematics, Physics , or a closely related quantitative discipline. NUS also values demonstrated expertise in data science , analytics , Excel , and Python or R , along with experience in broad-based undergraduate teaching , curriculum development , and generative AI in pedagogy. Learn more about how to become a lecturer and university lecturer careers .

Q: Is this a teaching-focused or research-heavy academic position?

This is a teaching-focused appointment under the NUS Educator Track scheme . You will concentrate on curriculum design and delivery , educational innovation , and curriculum alignment rather than a traditional research-intensive role. An interest in the Scholarship of Teaching and Learning is desirable. See this lecturer to senior lecturer career guide for progression insights.

Q: How do I apply for the NUS Lecturer in Data Literacy post?

Submit a cover letter , curriculum vitae , scanned copies of academic degrees , a teaching statement , and two academic or professional referee letters through the NUS application portal. The requisition ID is 34151 . For help, review how to write a winning academic CV and free cover letter template .

Q: What is the application deadline and start date?

The application deadline is 25 October 2026 . The start date is immediate or as soon as practicable in semester 1 of AY2026/2027 . You can view other lecturer jobs or faculty positions on AcademicJobs.com.

Q: Where is the job located and is visa sponsorship available?

The post is based at the Kent Ridge Campus of the National University of Singapore (NUS) in Singapore . Visa sponsorship details are not specified in the posting; international applicants should contact NUS HR directly. Browse university jobs for more academic opportunities.

Job Description

Position Overview

Applications are invited for the post of Lecturer in Data Literacy at the National University of Singapore (NUS). The successful candidate will be appointed on a full-time, renewable contract under the NUS Educator Track scheme. The post is hosted by the Office of the Provost as administrative host and incubator for the programme, in collaboration with the Department of Mathematics and the Department of Statistics and Data Science.

Key Responsibilities

Curriculum Design & Delivery: Assist Course Lead in directing the ongoing refinement of content, delivery and assessment for the university-wide general education course for the AI era, GEA1000 Quantitative Reasoning with Data. The course introduces foundational data sense-making and visualisation, drawing on authentic datasets from diverse fields, including science and engineering, healthcare, consumer insights, and public policy.
Educational Innovation: Assist the Course Lead in integrating AI and other technologies into teaching pedagogies to enhance student mastery of core data concepts.
Curriculum Alignment: Assist the Course Lead in collaborating with academic units across the university to ensure integration between this course and the higher-level data science and analytics courses.

Position Details

Start date: Immediate, or as soon as practicable, in semester 1 of AY2026/2027

Qualifications

Qualifications and Requirements

Essential

PhD in Statistics, Mathematics, Physics, or closely related quantitative discipline.

Desirable attributes

Technical Proficiency: Demonstrated expertise in data science, analytics, and practical applications, including proficiency in Excel, and programming languages such as Python or R.
Higher Education Teaching: Proven track record of delivering broad-based, common curriculum undergraduate courses.
Curriculum Development: Experience in course design, assessment development, and programmatic alignment.
Pedagogical Innovation: Experience in leveraging educational technologies, including generative AI, for innovative teaching pedagogies to enhance learning outcomes.
Scholarship of Teaching & Learning: Active interest or experience in evidence-based pedagogical research.

Please submit the following documents:

Cover letter
Curriculum vitae
Scanned copies of academic degrees
Teaching statement
Two academic or professional referee letters

Req ID: 34151

Apply now

Job details

Title: Lecturer (Data Literacy)
Employer: National University of Singapore
Location: Kent Ridge Campus
Published: Aug 26, 2026
Closes:: Oct 25, 2026
Job type: Full time, Academic / Faculty, Mathematics
Field: Statistics

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Frequently Asked Questions

🎓What qualifications do I need for the Lecturer (Data Literacy) role?

The essential requirement is a PhD in Statistics, Mathematics, Physics, or a closely related quantitative discipline. NUS also values demonstrated expertise in data science, analytics, Excel, and Python or R, along with experience in broad-based undergraduate teaching, curriculum development, and generative AI in pedagogy. Learn more about how to become a lecturer and university lecturer careers.

📊What will I teach as a Lecturer in Data Literacy at NUS?

You will support the university-wide general education course GEA1000 Quantitative Reasoning with Data. The course introduces foundational data sense-making and data visualisation using authentic datasets from science and engineering, healthcare, consumer insights, and public policy. You will also help integrate AI technologies into teaching pedagogies. Explore related AI literacy research.

🧑‍🏫Is this a teaching-focused or research-heavy academic position?

This is a teaching-focused appointment under the NUS Educator Track scheme. You will concentrate on curriculum design and delivery, educational innovation, and curriculum alignment rather than a traditional research-intensive role. An interest in the Scholarship of Teaching and Learning is desirable. See this lecturer to senior lecturer career guide for progression insights.

📝How do I apply for the NUS Lecturer in Data Literacy post?

Submit a cover letter, curriculum vitae, scanned copies of academic degrees, a teaching statement, and two academic or professional referee letters through the NUS application portal. The requisition ID is 34151. For help, review how to write a winning academic CV and free cover letter template.

📅What is the application deadline and start date?

The application deadline is 25 October 2026. The start date is immediate or as soon as practicable in semester 1 of AY2026/2027. You can view other lecturer jobs or faculty positions on AcademicJobs.com.

🌏Where is the job located and is visa sponsorship available?

The post is based at the Kent Ridge Campus of the National University of Singapore (NUS) in Singapore. Visa sponsorship details are not specified in the posting; international applicants should contact NUS HR directly. Browse university jobs for more academic opportunities.