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

Nanyang Technological University; Singapore; On-site; SGD 56,000 - 89,000; Full time

Job summary

The National Institute of Education invites suitable applications for a Research Fellow on a 5-month contract in the Learning Sciences & Assessment Department at NTU Singapore. The RF will work on projects that refine LLMs to support interdisciplinary learning and coordinate large-scale data analyses.

Collaborating with a multidisciplinary team of researchers including learning scientists, AI experts, and instructors, the successful candidate will disseminate findings through high-impact

Qualifications

• PhD in Learning Sciences, Educational Technology, HCI, Information Technology, AI or related field.
• Demonstrated experience in educational data mining and AI for education with large datasets.
• Experience with LLMs: programming, fine-tuning, evaluation and benchmarking.
• Proficiency in quantitative research methods and statistical analysis.
• Proficiency in qualitative research: interviews and thematic analysis.

Responsibilities

• Conduct independent and collaborative research in learning sciences and AI for education.
• Contribute to data collection and analysis for ongoing projects.
• Disseminate findings in high-impact journals and international conferences.
• Perform duties as assigned by Principal Investigators.

Skills

Educational data mining

AI for education

LLMs

Python

R

Qualitative research

Interdisciplinary collaboration

Publications

Education

PhD in Learning Sciences or related field

Tools

Python

R

Job description

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

Closing Date

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

Hiring Institution

Hiring Institution: NIE A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg

About NIE About RSIS About LKCMedicine About NTUItive