We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.
The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.
Key Responsibilities:
Conduct independent research
Handle grant-related administrative tasks (e.g., prepare and amend 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
Play a central role in coordinating and running of neuroimaging study
Develop and/or manage data analysis pipelines
Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines
Carry any other duties as required by PI and co-PI(s)
Job Requirements:
PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields
Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports
Knowledge and experience in social science research methodologies
Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)
Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)
Familiar with coding (e.g., in R, MATLAB, Python)
Experience with research project management and supervision of research staff and students
Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines
Good leadership skills
Self-directed learner who can effectively picks up relevant skills as needed
Self-motivated, able to work independently to collect data, analyse data, and communicate findings
Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred
Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred
Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred
Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred
Good knowledge of cognitive functions and cognitive neuroscience theories and techniques
Good or working knowledge of machine learning techniques
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU
