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Research Assistant/engineer
3 weeks ago
**Job no**: 498361
**Department**: Health and Social Sciences
**Contract type**: Contract
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.
The primary responsibility of this role is to deliver on industry innovation research where you will support all aspects of the project to investigate neuroplasticity and recovery of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This MOH NMRC-funded project brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS) and National University Hospital (NUH) in the areas of Neuroscience, Psychology, Movement Science and Rehabilitation.
**Key Responsibilities**
- Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met.
- Perform computational modelling and analysis of the neuroimaging and behavioural data.
- Provide ready access to all experimental data for the faculty researcher and/or supervisor.
- Prepare materials for submission to granting agencies, foundations and Ethics Committee review.
- Prepare progress reports for the PI and funding agency. Prepare other articles, reports, and presentations.
- Coordinate and attend project meetings, monitor the project budget and work on other projects and initiatives, as required.
- Conduct literature reviews for publications and research briefings.
- Contribute to the dissemination of research findings (e.g., journal, conference, book).
- Support and collaborate with research assistants, graduate and undergraduate students, where applicable.
- Perform other research-related tasks as required by the Principal Investigator.
**Job Requirements**
- Bachelor's degree in relevant discipline (e.g. experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, electrical engineering, biomedical engineering, computer science, or related fields).
- Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage.
- Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage.
- Ability to use statistical packages such as SPSS, R for statistical analyses and visualisation will be an advantage.
- Some research and/or clinical experience in the area of stroke rehabilitation or care will be an advantage.