Lecturer (AI & Data Science), Sch of Mathematical Sciences & Analytics

Public Service Division; Singapore; On-site; SGD 60,000 - 96,000; Full time

Job summary

Public Service Division is seeking lecturers for the School of Mathematical Sciences & Analytics to teach Data Science and Artificial Intelligence, with emphasis on AI, CV, DS, DA, and NLP. The role includes developing interdisciplinary modules and staying current with AI trends.

Successful candidates will develop curricula, deliver modules, and engage in consultancy and industry projects, with an emphasis on youth and adult learners and collaborative teamwork.

Qualifications

• Passionate about education and mentoring students.
• Ability to develop curriculum and new courses.
• Experience in consultancy or industry/research projects is desirable.

Responsibilities

• Teach Data Science & AI in the School of Mathematical Sciences & Analytics.
• Cover related domains such as Mathematics, Statistics or Computing.
• Develop and review course materials and assessments.
• Undertake project and consultancy work with stakeholders.

Skills

Data Science

Artificial Intelligence

Computer Vision

Data Analytics

NLP

Education

Mathematics

Statistics

Physics

Job description

What the role is

Plaque of Commendation (Gold) – NTUC May Day Awards 2026

Most Positive Workplace Collaboration Award – Singapore International Chamber of Commerce (SICC) Awards 2025

The Straits Times Singapore's Best Employers for 2024, 2025 & 2026

The job of an academic is challenging but meaningful. Not only will s/he have both the knowledge and working experience, s/he must also possess a passion for working with youths and adult learners. There will be opportunities to develop curriculum, introduce new courses as well as be involved in consultancy and applied industry/research projects. Administrative work related to teaching and School/ Institutional strategic initiatives will also be an important part of the job. The successful candidates will be expected to be resourceful and innovative with initiative and good communication skills.

What you will be working on

As a lecturer in the School of Mathematical Sciences & Analytics, you will be primarily responsible for teaching in the domain of Data Science & Artificial Intelligence, with a focus on at least one of the following areas:

• Artificial Intelligence (AI)
• Computer Vision (CV)
• Data Science (DS)
• Data Analytics (DA)
• Natural Language Processing (NLP)

You will also be expected to teach in at least one complementary area such as

• Mathematics,
• Statistics, or
• Computing.

In line with SP's Common Core Curriculum, you will also be expected to teach at least one interdisciplinary module, which may include:

• Data Fluency
• Artificial Intelligence & Its Impact
• Persuasive Communication with Data Storytelling
• Problem Solving with Creative and Computational Thinking

Beyond the classroom, you will play an active role in shaping and evolving the curriculum. This includes:

• Developing and reviewing course materials and assessments to enhance student learning, performance, and employability
• Staying current with trends and developments in Artificial Intelligence, Computer Vision, Data Science, Data Analytics, and Natural Language Processing to ensure the curriculum remains relevant and up to date
• Undertaking project and consultancy work with internal and external stakeholders, applying your expertise in real-world contexts

What we are looking for

• Passionate about education and possess strong interest in teaching and mentoring students
• Self-driven, independent and possess readiness to work as a team
• Relevant qualification in Mathematics, Statistics, Physics or Engineering
• Relevant industry experience and/or knowledge of how statistics is applied in different fields such as Data Analytics, Engineering or IT
• People-oriented individual with strong interpersonal, written and communication skill

Successful candidate will be offered a 2-year contract in the first instance.

If you are shortlisted for the position, you should hear from us within 30 days of the closing date of the advertisement.