Research Fellow
5 days ago
The world today evolves rapidly due to 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 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 central to the modern digital age, and our education system needs innovation to ensure citizens are equipped with future skills. For example, major global challenges will require novel and creative approaches and solutions.
CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are prepared for future career success, as well as have a good quality of life and wellbeing, thus supporting a flourishing society.
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 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
- 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 roles / 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 organisational skills and able to work within given deadlines
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