Section on Functional Imaging Methods
National Institute of Mental Health, National Institutes of Health
Department of Health and Human Services
Bethesda, MD, USA
The National Institute of Mental Health (NIMH) invites applications for postdoctoral positions in the Section on Functional Imaging Methods (SFIM), directed by Dr. Peter A. Bandettini. Research is focused on advancing functional MRI (fMRI) acquisition and processing methods towards the goal of better understanding human brain dynamics and physiology, as well as to determine fMRI and MRI correlates to behavior and disease. Current areas of research in the SFIM include: use of naturalistic stimuli for subject phenotyping, development of layer fMRI acquisition and analysis methods, characterization and interpretation of static and dynamic aspects of functional connectivity, development of multi-echo fMRI analytical methods, simultaneous EEG-fMRI, neuromodulation, and examination of the limits of what fMRI can reliably measure.
The SFIM is a team of physicists, psychologists, engineers, neuroscientists, and computer scientists committed to advancing the field of fMRI and the role it plays in improving our understanding of brain function. Our group has access to state-of-the art neuroimaging and neuromodulation facilities, including 7T and 3T MRI scanners, MRI-compatible 256-channel EEG, MEG, tDCS/tACS, TMS, as well as behavioral testing facilities. We collaborate with groups performing research on clinical populations suffering from neurologic, psychiatric, and developmental disorders. We also work closely with the functional MRI Core Facility, the NIMH Machine Learning Team, the Data Science and Sharing Team, and the Scientific and Statistical Computing Core Facility.
The applicant for this position should have a Ph.D. (or equivalent) in a specialty related to fMRI, EEG, MEG, and/or MRI and a strong passion for developing and advancing fMRI methods. The applicant must be able to work independently, highly skilled in functional neuroimaging and data analytics, as well as be excited to learn novel ways to explore and interpret neuroimaging data. The applicant is expected to have deep expertise in some particular aspect of neuroscience, imaging, or data science, and the desire to work collaboratively to advance the research goals of the section. Salary for this position is defined by type of training and years of experience
The NIH is among the largest and best communities of MRI researchers in the world, with opportunities to collaborate with leaders in the field of fMRI, DTI, susceptibility contrast, parallel imaging, and molecular imaging, among other MRI-based specialties.
Applicants should send a curriculum vitae, and three letters of recommendation to Peter A. Bandettini, Ph.D. Building 10, Room 1D80, 10 Center Drive, Bethesda, MD 20892-1148, 301-402-1333, email@example.com, TTY: MD Relay Operator at 1-800-735-2258. The National Institutes of Health is an equal opportunity employer.
Joint Columbia/NIMH postdoctoral position
We are seeking a post-doctoral fellow (or equivalent) to be co-supervised by Elizabeth Hillman at Columbia University’s Zuckerman Institute and Peter Bandettini at the National Institute of Mental Health Intramural Research Program. This position requires expertise in dynamic data analysis and a strong interest in exploring the neural basis of functional magnetic resonance imaging. fMRI data acquired in humans will be compared to mouse wide-field optical imaging of neural activity and hemodynamics to test and inform improvements in fMRI data analysis, particularly in relation to resting state functional connectivity mapping methods. The individual may have a computational, neuroimaging or engineering background, with a preference for prior experience in fMRI analysis. This position could be a postdoctoral fellowship or for someone without a doctorate who has relevant skills and experience.
The position could be geographically located in either New York or the Washington DC area.
The Hillman lab (https://zuckermaninstitute.columbia.edu/elizabeth-hillman-phd ) within Columbia’s new Zuckerman Mind Brain Behavior Institute is an energetic, diverse group with broad interests spanning imaging technology development and its application to answering novel questions relating to real-time brain activity and its relation to behavior across the scales and species. Our neurovascular coupling work seeks to better inform the interpretation of human fMRI data in health and disease through elucidation of the mechanistic underpinnings of the BOLD signal.
Dr. Bandettini’s Section on Functional Imaging Methods at the National Institutes of Health (https://fim.nimh.nih.gov/ ) is a team of physicists, psychologists, engineers, neuroscientists, and computer scientists committed to advancing the field of fMRI by developing of improved fMRI data acquisition and processing methodology, shedding light on the relationship between neuronal activity and hemodynamic changes, characterizing the sources of artifact and useful information in the signal, and bridging the gap between basic development and research and clinical applications.
Women and minorities are strongly encouraged to apply.
Machine Learning Group
This facility develops novel ways to use machine learning methods for neuroimaging data and to help intramural NIH researchers apply machine learning methods to their data.
Email MLCORE-JOBSEARCH@mail.nih.gov for inquiries.
Data Science and Data Sharing Group
This facility develops procedures and infrastructure to facilitate sharing and analysis of data from the thousands of volunteers each year who participate in intramural neuroimaging studies.
Email DATASCI-JOBSEARCH@mail.nih.gov for inquiries