AI for Learning Innovation Specialist, CTE

About Us

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description

• This position is for Centre for Teaching Excellence (CTE).
• Design, prototype, and iterate on AI-enabled teaching tools, such as digital assistants, automated feedback generators, and analytics platforms.
• Work with IT teams to integrate AI tools into existing systems e.g., LMS and other platforms.
• Support the implementation and evaluation of pedagogical experiments involving AI, contributing to design-based research efforts that assess educational impact and user experience.
• Work with faculty and academic units to co-create classroom-ready AI use cases, ensuring alignment with learning outcomes and instructional goals.
• Develop and deploy learning analytics solutions that generate insights into student engagement, performance, and academic challenges.
• Stay up to date with emerging AI platforms and recommend appropriate applications.
• Partner with data analysts and educational researchers to translate AI-generated insights into actionable strategies for teaching enhancement and curriculum refinement.
• Conduct workshops, demos, and one-on-one consultations with Faculty.
• Engage with internal stakeholders including CTE units, Faculty Development, Educational Research, and Technology to build institutional capacity and educator confidence in adopting AI meaningfully and ethically.
• Other duties and responsibilities as assigned.

Qualifications

• Degree in Computer Science, Data Science, or a related field.
• 5 years of relevant work experience, with at least 2 to 3 years in designing and developing AI-powered and online learning solutions and experiences, preferably within higher education institutions.
• Competent in programming languages such as Python and JavaScript; experience with AI frameworks, APIs, and cloud platforms.
• Familiarity with generative AI platforms (e.g. ChatGPT, Claude, CoPilot, Gemini, etc.), natural language processing (NLP), and chatbot frameworks.
• Familiarity with developing, deploying full-stack applications.
• Familiarity in building custom dashboards e.g. Power BI.
• Experience working in educational settings or with non-technical stakeholders, with the ability to translate user needs into effective technical solutions.
• Familiarity with LMS platforms (e.g., D2L, Canvas), educational data standards, and learning analytics tools would be advantageous.
• Excellent communication skills and a user-centred design mindset.
• Strong project, resource, and people management skills.
• Excellent organisational and analytical abilities.
• Strong command of both written and spoken English.
• Excellent time management skills with the ability to multitask.
• A motivated self-starter and team player who is resourceful and able to work independently.

Other Information

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.