Research Assistant (MNNDL - Neuroimaging / IT)
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 Prisma 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.
Purpose of the post
The Research Assistant (RA) will work closely with, the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient database management, and successful completion of research projects 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 computing server and storage administration (with support from external vendors), website maintenance, and neuroimage processing using automatic or semi-automatic scripts, and general IT management. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging software 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 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 strong IT, engineering, computing, and/or programming skills
- Excellent written, oral communication skills
- Prior system administration (Linux/Mac OS) or programming experience (e.g., MATLAB, shell) is a plus
- 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 email@example.com with the application letter, curriculum vitae, and contacts of two-three references. Only shortlisted candidates will be notified.
Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department : Medicine
Employee Referral Eligible: No
Job requisition ID : 19614