Research Fellow, Medicine
The National University of Singapore invites applications for research fellow (post-doctoral fellowship) in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition and Center for Translational Magnetic Resonance, 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. Computational and machine learning methods are developed to analyze multimodal neuroimaging, genetic, and behavioural 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. The lab has access to large-scale local and international neuroimaging dataset in health and disease.
Candidates must have a passionate enthusiasm for research, a strong background in at least one of the following fields: neuroimaging analyses, computational neuroscience, mathematics/statistics/machine learning, cognitive neuroscience, psychology, neuropsychiatric disorders, or related-fields. He/she should also possess the ability to take the initiative, work independently and be motivated to work in a highly collaborative and international research environment. He/she should be able to demonstrate creativity, critical thinking, technical independence and excellent communication and multitasking skills. Strong interest in studying brain networks in health and disease using multimodal neuroimaging methods and computational/machine learning approaches would be a plus. Proven skills in neuroimaging data analyses or machine learning is a plus.
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 clinicians. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Competitive package will be provided based on 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.
Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department : Medicine
Employee Referral Eligible: No