Research Fellow, Neuroimaging and Cognition
The Centre for Lifelong Learning and Individualised Cognition (CLIC), funded by the National Research Foundation (NRF) in Singapore and coordinated through the Cambridge Centre for Advanced Research and Education in Singapore (CARES), is a collaboration between Nanyang Technological University (NTU) and the University of Cambridge. CLIC is a flagship programme in the Science of Learning to harness advancements in neuroscience to develop cognitive training programmes for the improvement of lifelong flexible learning, focusing initially on adolescents and young adults, but also envisaging work with infants and older adults. This is a strategic global initiative for the Universities of Cambridge and NTU that brings together multidisciplinary expertise from over 30 investigators in the areas of Neuroscience, Psychology, Linguistics and Education across the two universities.
The CLIC program is seeking one full-time Research Fellow (RF) to support research activities on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. Given the highly inter-disciplinary nature of the project, the RF will be expected to take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. This RF will be focusing on neuroimaging and cognition. We anticipate the RF to perform within a dynamic interdisciplinary research environment and coordinates well with other teams in the CLIC program. This RF will be co-supervised by Professor Balazs Gulyas and Professor John Suckling with input from Professor Zoe Kourtzi and Professor Annabel Chen.
The responsibilities of the position include:
- Perform computational modelling and analysis of the neuroimaging and behavioural data from cognitive and related domain tasks
- Development and implementation of neuroimaging data analyses pipelines
- Conduct analysis of data and summarise research findings
- Development and implementation of data transfer and curation protocols
- Liaise with other workgroups on data management and multi-modal analyses
- Support and training of research assistants, graduate and undergraduate students
- Conduct literature reviews for publications and research briefings
- Author and co-author academic publications (e.g., journal, conference, book)
- Contribute to the production of research reports
- Contribute to the dissemination of research findings
- Perform other research-related tasks as required by the Principal Investigators
- Doctorate (PhD) degree and publication record in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, electrical engineering, biomedical engineering, computer science, or related fields
- Advanced signal processing and programming skills (e.g. with Matlab, Python)
- Experience with neuroimaging techniques (MRI, EEG and/or TMS).
- Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc
- Experience with statistical packages, especially R and SPSS
- Good statistical knowledge and skills
- Good IT skills (i.e.Microsoft Office®)
- Strong ability to work within a multidisciplinary team
- Strong interpersonal, written and verbal communication skills
- Excellent organizational skills and able to work within given deadlines
Preferred Skills and Experience:
- Experience and/or interest in system administration and network infrastructure
- Self-directed learner who effectively picks up relevant skills as needed
- Prior experience in the following
- Analyzing large datasets and data management (e.g. REDCap, MySQL)
- Working with Singaporean organizations / business
- Academic publication processes and reports
We regret that only shortlisted candidates will be notified.