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 characterization and interpretation of static and dynamic aspects of functional connectivity, ultra-high resolution fMRI for layer-specific functional mapping, multi-echo fMRI for improved time series interpretation, development of naturalistic stimuli and corresponding processing methods for subject phenotyping, simultaneous EEG-fMRI, and physiologic fMRI to extract salient information on non-neuronal hemodynamics, and real time fMRI.
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, firstname.lastname@example.org, TTY: MD Relay Operator at 1-800-735-2258. The National Institutes of Health is an equal opportunity employer.
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