Research Fellow, Neuroscience
The National University of Singapore invites applications for a research fellow position (post-doctoral fellowship) in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance, Yong Loo Lin School of Medicine, and Department of Electrical and Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org.
The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and machine learning methods. 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
(MR/fMRI/DWI/EEG/PET), genetic, and behavioral data. By integrating longitudinal multimodal data, our long-term goal is to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.
The candidate will have the opportunity to interact with faculty, researchers, and students from both medicine and engineering departments and contribute to answer questions and solving problems in neuroscience and medicine. The team has access to large-scale datasets in aging, neurodevelopment, and dementia. Strong interest in studying brain network vulnerability hypothesis and/or neurovascular coupling in ageing, development, and neuropsychiatric disorders using multimodal neuroimaging methods would be a plus. There are possibilities to link brain imaging measures to digital tracking, behavioural and blood biomarkers in the context of aging as well as interventions.
Candidates must have a passion for research, a strong background in at least one of the following fields: aging, cognitive neuroscience, psychology, neuropsychiatric disorders, neuroimaging analyses, or related fields. Knowledge in signal processing, machine learning, mathematics/statistics, computational neuroscience, neuroinformatics is a plus but not necessary. He/she should possess the ability to take the initiative and work independently in a highly collaborative and international research environment. He/she needs to demonstrate creativity, critical thinking, technical independence, and excellent communications/multitasking skills.
The lab has access to large-scale local and international neuroimaging datasets in health and disease. Key attractions are access to a high-performance computing cluster (GPU/CPU and more than 300TB of data), two 3T Prisma MR scanners, and an 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. A competitive package will be provided based on experience.
Interested applicants are welcome to email Associate Professor Juan Helen Zhou at firstname.lastname@example.org (Twitter: @HelenJuanZhou) with the application letter, curriculum vitae, and contacts of at least two references. Only shortlisted candidates will be invited for an interview.
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: 17309