Research Fellow/Assistant/Engineer (Neuroplasticity and Movement Recovery)

About the role

Singapore Institute of Technology (SIT) is recruiting a Research Fellow, Assistant or Engineer to join its Health and Social Sciences research division. The role supports a funded project investigating neuroplasticity and recovery of movement quality after stroke, using multimodal functional brain imaging and 3D human kinematics. It is a temporary position reporting to Assistant Professor Choo Pei Ling.

Key responsibilities

• Participate in and manage the research project with the Principal Investigator and the team to meet project deliverables.
• Prepare data collection forms, interview questions and questionnaires, and recruit and/or interview subjects.
• Maintain accurate records of interviews and safeguard subject confidentiality.
• Perform computational modelling and analysis of neuroimaging and behavioural data, with guidance from senior colleagues when needed.
• Make experimental data readily available to the faculty researcher and supervisor.
• Prepare materials for grant applications, ethics committee review and progress reports for the PI and funding agency.
• Conduct literature reviews, write articles, reports and presentations, and help disseminate findings through journals, conferences and books.
• Support research assistants, graduate and undergraduate students, and help plan externally funded research proposals.

Required profile

• A good degree in a relevant discipline such as experimental, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical or electrical engineering, computer science, physics or related fields; candidates with a non-healthcare degree are welcome.
• A PhD (or equivalent research experience) for the Research Fellow position.
• Advantageous: familiarity with stroke rehabilitation or care, and experience supporting research projects to completion.

Required skills

• Advantageous: image data analysis tools such as SPM, FSL, AFNI and DSIStudio.
• Advantageous: signal processing and programming (Matlab, Python) and statistical packages (SPSS, R).
• Scientific writing, technical writing and presentation skills, and strong teamwork and communication abilities.

The project involves work at external sites such as NUS and NTU, which may require swab testing before entry, and occasional evening or weekend work.