Research Fellow (Neuroimaging, Computer Science, Cognitive Neuroscience)

About the role

The Cognitive Neuroimaging Centre (CoNiC) at NTU, a strategic shared research facility focused on the structure and function of the human brain, is seeking a Research Fellow. The successful candidate contributes to multidisciplinary research, develops novel methodologies and harmonises protocols, provides data analysis services to users and supports collaborations across disciplines. The role is based across the Experimental Medicine Building on the main campus and the Clinical Sciences Building at the Novena campus, with flexibility to work at either site.

Key responsibilities

• Design, plan and conduct experiments using structural and functional MRI, EEG, fNIRS and other neuroimaging modalities
• In coordination with the Assistant Director, develop and optimise imaging protocols by designing paradigms and tasks for functional MRI studies
• Perform image analysis and postprocessing with software such as SPM, CONN, BrainVoyager, EEGlab and NIRSlab
• Use E-Prime, MATLAB, PsychoPy and Python for stimulus presentation and data analysis
• Run statistical analyses with SPSS, R or Python
• Provide technical support to Principal Investigators on experimental design, data processing and grant proposals
• Mentor PhD, URECA and scholarly project students and train staff in data acquisition and analysis
• Develop new methodologies, harmonise protocols and implement best practices
• Conduct independent research and publish in peer-reviewed journals, prepare technical documentation, progress reports and grant applications, and support patent submissions where applicable
• Ensure quality assurance, validate analysis pipelines and comply with safety and research standards
• Support troubleshooting, plan technology upgrades and help acquire advanced hardware and software

Required profile

• PhD in Computer Science, Cognitive Neuroscience, Life Sciences, Engineering or a related field
• 3-5 years of hands-on experience in neuroimaging research, including MRI/EEG/fNIRS data acquisition, postprocessing and analysis
• Experience with other modalities such as MEG, EEG, fNIRS, TMS is an added advantage
• Ability to work independently and collaboratively across disciplines, with excellent communication skills
• Willingness to work across both NTU campuses and to learn new imaging techniques

Required skills

• Proficiency in MATLAB and Python
• Familiarity with SPM, CONN, BrainVoyager, EEGlab and NIRSlab
• Knowledge of experiment design and stimulus presentation software such as PsychoPy or E-Prime
• Statistical and computational skills for high-dimensional neuroimaging data