Position Information

Position Information Message
Postbaccalaureate fellow
            The Advanced MRI Section (AMRI) in the Intramural Research Program of the National Institute of Neurological Disorders and Stroke at the National Institutes of Health (NIH) in Bethesda, Maryland is seeking postbaccalaureate fellow candidates for its all-night EEG-fMRI sleep study.  The fellow will assist with everything from participant scheduling to data collection and analysis.  Candidates must be willing and able to work night shifts and in the MRI environment.  The start date will be no later than 7 June 2021.
            In addition to developing unique methods for white matter imaging, ultra-low and ultra-high field imaging, and perfusion imaging, the Section is interested in studying the brain with fMRI during sleep.  This encompasses the characterization of both neuronal and autonomic activity changes across the full range of arousal states during overnight sleep. After a successful pilot study, AMRI recently started a main study that is currently in full swing. Early analysis of the pilot data has revealed novel interactions between autonomic and neural activity that will be further investigated with advanced analysis techniques. It is anticipated that further development of analysis approaches will be important for proper analysis and interpretation of the data.
            As part of the NIH intramural program, AMRI has access to unique imaging and computational resources, including access to 3T and 7T MRI scanners, EEG and MEG systems, and a large (currently 107,000-core) computational cluster. In addition, it has expertise in state-of-the-art MRI imaging techniques and data analysis tools, and a dedicated group of researchers including MRI physicists and sleep neuroscientists.

Applicants are requested to send curriculum vitae to Dante Picchioni, PhD at:
dante.picchioni@nih.gov
It is encouraged to include contact information for three references from mentors and/or colleagues.
 
For more information on the NIH Intramural Research Training Award, see:
https://www.training.nih.gov/programs/postbac_irta
For more information on the laboratory, see:
https://amri.ninds.nih.gov
Please note that you must be willing and able to work night shifts and in the MRI environment.  You cannot perform these essential functions if you ever had a seizure; if you ever had a psychotic, depressive, or bipolar disorder; or if you have a contraindication for MRI.  This will be verified by a physical.
 
Position: Postbaccalaureate fellow
Organization: National Institutes of Health
Location: Bethesda,  MD 
United States
Salary: $32,950-$38,600
Posting Start Date: 3/20/2021
Date Posted: 3/20/2021
Requirements Minimum Qualifications:
  1. College graduates who received their bachelor's degrees less than THREE years prior to the date they begin the program; OR individuals who are more than 3 years past the receipt of their bachelor's degree but received a master's degree less than SIX MONTHS before they begin the program; OR individuals who meet one or both of the above and who have been accepted into graduate, other doctoral, or medical school programs and who have written permission from their school to delay entrance for up to one year to pursue a biomedical research project at the NIH
  2. U.S. citizen or permanent resident
  3. Candidates must intend to apply to graduate or professional school during their tenure at the NIH (if they have not already been accepted)
  4. Willingness and ability to work night shifts
  5. Willingness and ability to work in the MRI environment
Desirable Qualifications:
  1. A strong desire to learn or continue to learn homeostasis, consciousness, sleep, circadian, and/or ultradian neuroscience
  2. Strong quantitative data analysis skills in advanced statistics, signal processing, and/or scientific computer programming
Status: This listing expires on: 6/18/2021
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Organization Information
Name:
National Institutes of Health
Address:


Bethesda,  MD 20892
United States
Email:
dante.picchioni@nih.gov
Phone:
Fax:
Contact:
Dante Picchioni, PhD