Research Fellow (AI for Learning and Intelligent Educational Systems) Full-time NEW

Research Fellow With Teaching In EEE

School of Electrical and Electronic Engineering is one of the founding schools of the Nanyang Technological University. Built on a culture of excellence, the school is renowned for its high academic standards and research. With over 3,000 undergraduate students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects. Today, the school has become one of the world's largest engineering schools that nurtures competent engineers and researchers. Each year, the school graduates over a thousand students who are ready to take on great ambitions and challenges.

We are hiring a Research Fellow with teaching in EEE to support research and development for AiBBLe, an AI-enabled brain-based learning platform, with emphasis on AI for learning, intelligent educational systems, human-centred AI, multimodal analytics, and related system design. The Research Fellow is also expected to support teaching activities as required by the school. Candidates should have a strong research track record, the ability to contribute to publications and interdisciplinary R&D, and prior teaching, tutoring, or laboratory instructional experience. Experience in generative AI, adaptive systems, learning technologies, sensing, or multimodal analytics will be advantageous.

Key Responsibilities:

• Conduct research on AI for learning, intelligent educational systems, human-centered AI, multimodal analytics, and related areas relevant to the AiBBLe platform.
• Translate AiBBLe's educational and brain-based learning goals into technically feasible platform logic, prototypes, workflows, and evaluation designs.
• Publish high-quality journal and conference papers and prepare technical reports and presentations.
• Assist in mentoring MSc dissertation students, undergraduate research students, or project teams, and support experiments, pilot studies, and applied evaluations.
• Assist the school in teaching-related duties, including tutorials, laboratory support, project supervision, or other instructional activities with up to 350 hours per academic year.

Job Requirements:

• Ph.D. in Electrical and Electronic Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Human-Computer Interaction, Biomedical Engineering, or other related fields.
• Strong research background in intelligent systems, human-centred AI, machine learning, multimodal analytics, learning technologies, or related areas.
• Working knowledge of generative AI, large language models, prompt design, adaptive systems, data analysis, experimentation, and research software prototyping.
• Ability to translate research concepts into practical technical designs, prototypes, experiments, and platform features.
• Good written and oral communication skills.
• Ability and willingness to contribute to university teaching duties within an engineering-school environment.
• Independent, self-motivated, and able to work well in an interdisciplinary team.
• Ability to adapt to changing priorities and project needs.

We regret to inform you that only shortlisted candidates will be notified.

Hiring Institution: NTU