- Singapore

Working Location
Job Description
Responsibilities
[What the role is]
Plaque of Commendation (Gold) – NTUC May Day Awards 2026[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 Technology and Analytics , with a focus on areas such as
Artificial Intelligence,
Data Science,
Data Analytics,
Data Visualisation, and
Quantum Computing.
You will also be expected to teach in at least one complementary area such as
Mathematics,
Statistics, or
Programming.
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, Data Science, Data Analytics, Data Visualisation, and Quantum Computing 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.
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