Neuroimaging Research Scientist
2 weeks ago
The Centre for Lifelong Learning and Individualised Cognition (CLIC) is a pioneering research collaboration between the University of Cambridge and Nanyang Technological University (NTU), hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES). Our mission is to develop neuroscience-based interventions for lifelong flexible learning, ensuring individuals adapt and thrive in today's rapidly evolving world.
Leveraging advances in technology and globalisation, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists, and educators. We conduct innovative research in the science of learning, exploring novel approaches to cognitive flexibility, problem-solving, and creative thinking.
As a Research Fellow at CLIC, you will play a key role in our efforts to design practical, real-life interventions for schools and workplaces. Your work will focus on neuroimaging, training-related brain changes in adults, and opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning, and pedagogy.
Key Responsibilities:- Perform computational modelling and analysis of neuroimaging and behavioural data from cognitive and related domain tasks
- Develop and implement neuroimaging data analyses pipelines
- Conduct analysis of data and summarise research findings
- Develop and implement 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 experience in similar roles or 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 DSI Studio, 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 ability to work within given deadlines
We offer a competitive salary of SGD 90,000 - SGD 120,000 per annum, commensurate with experience. If you are a motivated and skilled professional looking to contribute to cutting-edge research, please submit your application.
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