Research Assistant (Psychology)

About the role

Nanyang Technological University (NTU) in Singapore is looking for a Research Assistant to join its inter-disciplinary Science of Learning research team, which sits between Psychology and the School of Physical and Mathematical Sciences. The project focuses on brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary students. Assessment tools are already in place, so the work centres on high-quality data collection, data management and AI-driven analysis.

Key responsibilities

• Handle grant-related administrative tasks, such as preparing and amending ethics documents
• Conduct literature reviews and prepare research progress reports and policy reports for stakeholders
• Play a central role in coordinating and running a neuroimaging study
• Develop and/or manage data analysis pipelines and help set up research protocols
• Organise regular meetings with project collaborators and stakeholders (e.g. monthly and half-yearly)
• Contribute to research articles (reviews and empirical papers) and policy/communication papers, and help disseminate findings at conferences
• Collect data and work effectively with young children; carry other duties asked by the PI and co-PIs

Required profile

• BSc in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science or related fields
• Excellent oral and written communication skills, with good knowledge of social science research methods
• Self-directed, self-motivated and able to work independently and collaboratively
• Preferred: experience with cognitive neuroscience or neuroimaging research with children and/or adults (fMRI), cognitive/neuropsychological assessments, and dissemination and publication

Required skills

• Statistical analysis tools such as SPSS, R, Jamovi and JASP
• Familiarity with neuroimaging software (SPM, AFNI, FLS)
• Coding in R, MATLAB or Python
• Project management, data management and storage, and research project coordination
• Working knowledge of machine learning techniques