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

[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.