The Complex Systems Science @ NTU (directed by Dr. Cheong Kang Hao) and the STEM Learning Optimisation CoLab (directed by Dr. Darren Yeo) at Nanyang Technological University, Singapore, jointly seek applicants with a Doctoral degree (PhD) for the Research Fellow position and a Masters/Bachelor’s degree for the Research Assistant position in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical engineering, computer science, deep learning, and related fields.
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.
Interested applicants are invited to email their CV to kanghao.cheong@ntu.edu.sg , CC to darrenyeo@ntu.edu.sg , to express their interest in the position.
Applicants may also apply directly here:
Research Fellow (Experimental Psychology/ Neuroscience)
Research Fellow (Experimental/ Computational Neuroscience)
Research Associate (Experimental Psychology/ Neuroscience)
Research Assistant (Psychology)
The responsibilities of the position include:
- 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)
Essential competencies, skills and knowledge requirements:
- Possess 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.
The deadline for application is 31 March 2024.