Research Fellow (Experimental Psychology/Neuroscience)

About the role

The School of Physical and Mathematical Sciences (SPMS) at NTU College of Science is looking for a Research Fellow in experimental psychology, neuroscience or related fields. The successful candidate joins an interdisciplinary Science of Learning research team developing brain-based machine-learning models to predict early mathematical learning difficulties in kindergarten and early primary students. The project focuses on high-quality data collection, data management and AI-driven analysis, after assessment tools have already been established.

Key responsibilities

• Conduct independent research and 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.
• Supervise and lead a team of full-time and part-time research staff and undergraduate student assistants.
• Play a central role in coordinating and running the neuroimaging study and collecting data from young children.
• Develop and/or manage data analysis pipelines.
• Liaise with faculty, collaborators and stakeholders across disciplines, and carry out other duties requested by the PI and co-PIs.

Required profile

• Doctoral degree (PhD) in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience or related fields.
• Knowledge of social science research methods, good statistical knowledge and experience with research project management.
• Experience supervising research staff and students; self-directed, able to work independently and meet tight deadlines.
• Preferred: experience with cognitive neuroscience or neuroimaging research with children and adults (especially fMRI), cognitive/neuropsychological assessment, and dissemination and publication.

Required skills

• Statistical tools such as SPSS, R, Jamovi and JASP.
• Familiarity with neuroimaging software (SPM, AFNI, FSL).
• Coding in R, MATLAB or Python.
• Good oral and written communication, leadership and organisational skills.