Research Fellow

2 days ago

Singapore Nanyang Technological University Singapore Full time

Overview

Research Fellow (Interdisciplinary & Collaborative Learning) at Nanyang Technological University Singapore. The Interdisciplinary Collaborative Core (ICC) Office oversees new curricula focusing on key transferable skills and global challenges using an interdisciplinary and collaborative approach to learning. The rapidly changing nature of work necessitates that graduates constantly acquire new knowledge and competencies and adapt to multiple career changes over their lifetimes. We pursue a holistic education grounded in future-ready skills which will prepare graduates for lifelong learning and global citizenship.

Responsibilities

  • Management of large datasets across multiple courses and academic years.
  • Conduct data analyses to test the hypotheses outlined by the research team, including Hierarchical Linear Modelling and Growth Modelling.
  • Propose improvements to existing research/survey designs, materials and reports to yield significant additional actionable insights for improving current pedagogical practices.
  • Develop additional research hypotheses based on existing data to supplement projects that measure interdisciplinary and collaborative learning and its impact on students.
  • Completion of progress reports based on MOE timelines.
  • Update the project webpage for knowledge dissemination to the general public.
  • Assist with writing manuscripts for academic journals.
  • Assist with preparation of slide decks for presentation of research to relevant stakeholders.

Job Requirements

  • PhD from an internationally recognised university in Psychology or Education or related fields; specialisations in Quantitative Psychology and Educational Psychology preferred.
  • A track record of internationally peer-reviewed publications in psychology, educational research, the learning sciences or science of learning or cognitive science, or related field preferred.
  • At least 5 years of relevant experience working in a psychological or education related laboratory or teaching research methods and statistics to Psychology students at the undergraduate and graduate levels.
  • Extensive knowledge and experience in psychological or education research methodologies, able to manage and analyse large data sets.
  • Proficiency in data analyses software, including SPSS and R, and proficiency in graphical-user interfaced software (e.g. Qualtrics, Verint, Google forms, Microsoft Office suite).

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

Hiring Institution: NTU

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