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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive