Research Fellow (Learning Sciences & Assessment Department) [NIE]

The National Institute of Education invites suitable applications for the position of Research Fellow on a 5-month contract at the Learning Sciences & Assessment Department.

The RF will work on the following projects:

Project #1 Title: Enhance Students' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics (MOE TRF 2/25 ZG)

Project #2 Title: Building an Eco-system to Leverage Augmented Reality in Schools (MOE SSHRF 8/22 WY)

The successful candidate will be playing a key role in refining LLMs to support students’ interdisciplinary learning competencies, handling and coordinating large-scale data analyses, and disseminating the results findings in high-impact journals and presentations at international conferences. The candidate will collaborate closely with a multidisciplinary team of researchers including learning scientists, AI experts, and instructors. Candidates who demonstrate the ability to independently design and implement experiments related to these areas will be preferred.

Requirements:

• PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field

• Demonstrated experience and proficiency in educational data mining and AI for education, with the ability to handle a large volumes of data

• Prior experience working with LLMs, including programming, fine-tuning, evaluating, and benchmarking

• Proficiency in quantitative research methods, statistical analysis, and computational techniques

• Proficiency in programming languages such as Python and statistical software such as R, with basic knowledge of AI/ML development

• Proficiency in qualitative research skills, including conducting interviews and thematic analysis

• Independent, highly analytical, proactive and a team player

• Strong verbal and written communication skills

• Ability to collaboration effectively with others

• Ability to initiate collaborative research in a multidisciplinary team

• Proven track record of publications in reputable Education, AI, or HCI journals or conference proceedings, preferably in areas related to human-AI collaboration, game-based learning, problem-solving, learning analytics, or AI ethics

Responsibilities:

• Conduct independent and collaborative research

• Contribute to ongoing research projects, including data collection, and analysis

• Disseminate research findings through publications in high-impact journals and conference proceedings

• Any other duties as assigned by the Principal Investigators

Application

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

Workday job requisition ID: R00025793

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Learning-Sciences---Assessment-Department---NIE-_R00025793)

Closing Date

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