Job Description

Job Scope

• Managing the scheduling, data collection and quality assurance of EEG, MEG, fNIRS and fMRI research projects.
• Collaborate with researchers and directors to ensure sound technical support for experimental setups and assisting with participant preparation.
• Responsible for equipment maintenance, troubleshooting technical issues and facilitating outreach programs in schools and hospitals to promote neuroimaging technologies.

Requirements
Must-haves:

• Bachelor's Degree in Medical Imaging/ radiography or equivalent.
• Minimum number of years of experience required for the role is 3 to 5 years.
• Due to the high-risk nature of high-field (3T) MRI environments, candidates must be MRI-trained and well-versed in MRI safety protocols.
• Able to perform MRI scans.
• Manage the scheduling and rescheduling of MRI, EEG, fNIRS, TMS and MEG bookings.
• Ensure efficient use of the equipment and timely adjustments to meet research needs.
• Oversee the collection and dissemination of MRI, EEG, fNIRS, fMRI, TMS and MEG data to the researchers.
• Ensure the integrity and accuracy of data through quality assurance protocols.
• Maintain accurate records of bookings, data collection and equipment maintenance.
• Provide technical support for EEG, fNIRS, TMS and MEG experimental setups and participant preparation.
• Troubleshoot and resolve technical issues with neuroimaging equipment.
• Conduct training sessions for new users on equipment use and safety.
• Collaborate with the Assistant Director to promote multimodal neuroimaging and engage with hospitals and schools for outreach programs.
• Contribute to updating the CoNiC website and reporting on equipment utilisation.
• Organise meetings with various stakeholders to ensure effective communication and collaboration.
• Undertake ad-hoc tasks as required.

Good-to-haves:

• Familiarity with functional neuroimaging programming tools such as E-Prime and Psychopy.
• Experience with image processing software for functional neuroimaging.
• Hands-on experience in teaching activities involving EEG, fNIRS, TMS, tDCS and MEG equipment.
• Support neuroimaging data analysis and gain exposure to advanced analytical techniques across diverse research projects.

Additional Opportunities:

• Training on specialised equipment, including MEG, will be provided.

Working Arrangements:
Mondays to Fridays (office hours)
Contract Duration: 2 years
Location: Boon Lay
Salary: $6500
EA License No.: 96C4864 (Shanice Lim Xin Ni)
Reg. No.: R22110485

Skills Required