The Learning Sciences and Assessment department within the National Institute of Education (NIE) at Nanyang Technological University (NTU), Singapore, invites applications for a Research Fellow position. NIE is a global leader in education studies. It ranked 8th for Education in the QS World University Rankings by subject. The successful candidate will be offered a one-year contract, with the possibility of a one-year renewal based on performance.

Project Title:

The Impacts of Generative AI on Creativity, Decision-Making Performance, and Agency: Human–AI Collaboration in Problem-Solving and Artefact Design

Enhance Students' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics

Project Introduction:

We are looking for a Research Fellow with a strong foundation in AI for education, Human-AI collaboration, and Large Language Models (LLMs) to contribute to two ongoing projects:

The Impacts of Generative AI on Creativity, Decision-Making Performance, and Agency: Human–AI Collaboration in Problem-Solving and Artefact Design Enhance Students' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics

The ideal candidate will be deeply involved in refining LLMs to support students’ computational thinking skills and interdisciplinary learning competencies, handling and coordinating large-scale data collection, analysing data around human-AI collaboration, students’ decision-making, creativity, agency, learning performance, and publish the results in high-impact journals and present at international conferences. The candidate will collaborate closely with a team of researchers including learning scientists, AI experts and instructors. Candidates with the potential to design and implement experiments related to these topics independently will be preferred.

Requirements:

• PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields
• Prior experience and proficiency in educational data mining and AI for education, with the ability to handle a large amount of data
• Prior experience working with LLMs, including programming, fine-tuning, evaluating and benchmarking
• Demonstrate skills in quantitative research methods, statistical analysis, and computational techniques; proficiency in programming languages such as Python, statistical software such as R, and basic AI/ML development
• Qualitative analysis skills such as conducting interviews, content analysis, and thematic analysis
• Independent, highly analytical, proactive and a team player
• Possess strong verbal, written communication and collaboration skills
• Ability to initiate collaborative research in a multidisciplinary team
• Proven track record with publications in reputable education, AI, or HCI journals or conference proceedings; preferably publications related to human-AI collaboration, game-based learning, problem-solving, learning analytics, or AI ethics

Responsibilities:

• Conduct independent and collaborative research
• Finetune LLMs, integrate them in existing systems, and apply them in data analyses
• Conduct user studies related to system development
• Contribute to ongoing research projects including data collection and data analysis
• Work closely with and provide guidance to part-time research assistants
• Publish high-impact conference and journal articles to disseminate the project's findings
• Any other duties as assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.