Our group expects to have 1-2 openings for postbaccalaurate IRTAs starting in Summer 2022. We also plan to hire Summer trainees in 2022. Applications for these positions need to be submitted through: https://www.training.nih.gov/programs Applicants can also contact Peter Bandettini, firstname.lastname@example.org, 301-402-1333, TTY: MD Relay Operator at 1-800-735-2258. The National Institutes of Health is an equal opportunity employer.
Post-Doctoral Position Available
Section on Functional Imaging Methods
National Institute of Mental Health
National Institutes of Health
Department of Health and Human Services
The National Institute of Mental Health (NIMH) invites applications for a post-doctoral position in the Section on Functional Imaging Methods, directed by Dr. Peter A. Bandettini. Our research involves advancing fMRI and MRI acquisition and processing methods and using these methods to better understand human brain dynamics, physiology, and functional organization as well as how they vary across groups and individuals. Specifically, we are developing and refining methodology along two primary avenues: ultra-high resolution fMRI and dynamic functional signal assessment. Projects associated with these avenues include layer fMRI studies, ongoing cognition assessment, real time fMRI and neuro feedback, separation of physiologic noise from neural signal, multi-echo acquisition and processing, and machine learning approaches for individual classification.
The MRI resources that our group utilizes at the NIH are extensive, including two GE 3T 750 scanners, one Siemens Skyra 3T scanner, one Siemens Prisma 3T scanner, two Siemens 7T scanners (a third Siemens 7T scanner arriving in early 2022). Non-MRI resources include MEG, EEG (including simultaneous EEG and fMRI), tDCS, TMS, PET, and optical imaging. Extensive animal imaging facilities are also available. 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. We collaborate closely 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 Scientific and Statistical Computing Core Facility, the Data Sharing and Science Team, the Machine Learning team, and the Center for Multimodal Neuroiaging.
The applicant must be highly independent, skilled in data manipulation, able to work with a large team, and motivated to develop novel methods. The applicant should have a Ph.D. in a specialty that has utilized fMRI, EEG, MEG, and/or MRI, and comfortable with details of MRI acquisition, reconstruction, and processing. Training in neuroscience or neurophysiology and/or time series signal processing is desired but not essential. Above all, the candidate should have a passion for developing and advancing fMRI methods, understanding the brain, and for moving fMRI towards clinical efficacy.
The salary for the position is highly competitive. 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.
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