Research Assistant, Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL)
7 days left
- Full Time
The National University of Singapore invites applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition at the Department of Medicine, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.
The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.
Key attractions are access to a high-performance computing cluster, two 3T Tim Trio MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.
Main Duties and Responsibilities
Purpose of the post
The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator, lab members, and collaborators to ensure successful completion of research projects and efficient management of database in the lab.
Main duties and responsibilities
The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in all neuroimaging experiments such as subject recruitment, behavioral testing, image data collection, and data analysis, support computing server and storage administration (with support from external vendors), and general lab administration. He/she will also be able to learn how to conduct fMRI scans with EEG recording, digital tracking, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging softwares and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging and cognitive neuroscience. The research assistant/associate will have the opportunity to liaise and work with other clinical collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
The applicant should have:
- Bachelor’s degree or master’s degree with neuroscience/psychology/life science/engineering/computing background with strong interest to learn
- Excellent written, oral communication skills
- Prior programming experience in medical image analysis or database management is a plus but not necessary
- Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
- Expected to commit for at least two years
Remuneration will be commensurate with the candidate’s qualifications and experience.
Interested applicants are welcome to apply here and/or email Associate Professor Helen Zhou at firstname.lastname@example.org with the application letter, curriculum vitae, and contacts of two-three references. Only shortlisted candidates will be notified.
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.
Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department: Dean's Office (Medicine)
Employee Referral Eligible: No
Job requisition ID: 12031