Lecturer (AI & Data Science), Sch of Mathematical Sciences & Analytics
Summary
Lecturer at Singapore Polytechnic teaching Data Science, AI, Computer Vision, NLP, and complementary math/statistics/computing courses, with responsibilities in curriculum development and industry consultancy projects.
[What the role is]
Plaque of Commendation (Gold) – NTUC May Day Awards 2026Most 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.