We are recruiting a Research Fellow (Post-doctoral Fellow) to work with us at the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center for Sleep and Cognition and Center for Translational Magnetic Resonance, Yong Loo Lin School of Medicine, as well as at the Department of Electrical and Computer Engineering.

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 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 include 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.

Purpose:

The candidate will have the opportunity to interact with faculty, researchers, and students from both medicine and engineering departments and contribute to the development of machine learning approaches to solve problems in neuroscience and medicine. Strong interest in studying brain networks in health and disease using multimodal neuroimaging methods and computational/machine learning approaches would be a plus.

Qualifications:

• Strong background in at least one of the following fields: machine learning, neuroimaging analyses, computational neuroscience, neuroinformatics, mathematics/statistics, or related fields.
• Knowledge in cognitive neuroscience, psychology, or neuropsychiatric disorders is a plus but not necessary.
• Possesses the ability to take the initiative and work independently in a highly collaborative and international research environment.
• Proven skills in neuroimaging data analyses and machine learning is a plus.
• Exhibits creativity, critical thinking, technical independence, and excellent communications/multitasking skills

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 helen.zhou@nus.edu.sg (Twitter: @HelenJuanZhou) with the application letter, curriculum vitae, and contacts of at least two references. Only shortlisted candidates will be invited for an interview.

Please find the official advertisement here: Link

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.

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:

The Research Associate/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 associate/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, 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.

Qualifications:

• 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 (e.g., MATLAB, shell, python) 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 email Associate Professor Helen Zhou at helen.zhou@nus.edu.sg with the application letter, curriculum vitae, and contacts of two-three references. Only shortlisted candidates will be notified.