Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.
The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.
CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.
For more details, please view: https://www.cares.cam.ac.uk/research/clic/
We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.
Key Responsibilities:
- 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
Job Requirements:
- PhD degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical engineering, computer science, or related fields.
- At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope
- 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
We regret to inform that only shortlisted candidates will be notified.
