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.
