Key Responsibilities

• Lead the planning and delivery of AI-enabled educational projects, partnering with faculty and external organisations to understand teaching and learning needs and co-design solutions aligned with learning outcomes.
  
  
• Design, develop and evaluate AI-powered learning experiences, including role-play simulations, AI tutors, coaching chatbots, virtual patients, interview simulations, intelligent feedback systems, and other interactive learning applications.
  
  
• Lead the design, evaluation, and continuous improvement of AI-enabled educational platforms and digital learning tools, working closely with software engineers and designers.
  
  
• Develop prompts, agent workflows, evaluation frameworks, and AI guardrails to improve the quality, consistency, reliability, and educational effectiveness of AI interactions.
  
  
• Design and lead user research, pilot studies, classroom implementations, surveys, and interviews to evaluate usability, learner engagement, learning outcomes, and educational impact.
  
  
• Analyse qualitative and quantitative data to evaluate AI-enabled learning interventions and recommend improvements to learning design, AI behaviour, user experience, and product development.
  
  
• Collaborate with software engineers, designers, and academic stakeholders to translate pedagogical requirements into functional AI solutions, iteratively refining them based on user feedback and evaluation findings.
  
  
• Advise educators on integrating generative AI into teaching, learning, and assessment, taking into account pedagogy, responsible AI use, student learning outcomes, and institutional priorities.
  
  
• Design and facilitate workshops, demonstrations, and consultations that build educators' confidence and capability in adopting AI-enabled teaching and learning solutions.
  
  
• Keep abreast of developments in AI and educational technology, applying evidence-informed practices to improve educational innovation and contribute to the Centre's strategic initiatives.

Qualifications

• Bachelor's degree from a recognised university, with strong pedagogical expertise demonstrated through formal training in education or substantial experience in schools, higher education, or other educational settings. A Master's degree in a relevant field will be an advantage.
  
  
• Substantial experience in designing, implementing, and evaluating teaching and learning initiatives, including the development of AI-enabled educational technologies such as chatbots, role-play simulations, intelligent tutoring systems, or other LLM-powered learning experiences.
  
  
• Strong understanding of large language models (LLMs), including prompt engineering, agent workflows, evaluation methodologies, and the capabilities and limitations of generative AI in educational contexts.
  
  
• Excellent written and spoken communication skills in English, with the ability to translate educational needs into effective AI-enabled learning solutions and communicate effectively with both technical and non-technical stakeholders.
  
  
• Strong interpersonal, project management, and organisational skills, with the ability to independently manage multiple projects and collaborate effectively across multidisciplinary teams.
  
  
• Intellectual curiosity and a commitment to continuous learning in education, AI, and emerging educational technologies.
  
  Only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science