NT

Research Fellow

ntu
CompanyNTU Main Campus, SingaporeOnsitePosted 5 hours ago

About the role

Research Fellow is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.

CompanyOnsite

Key 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

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