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Pre- and Post-doctoral Fellowships at the University of Vermont in Neuroimaging and Complex Systems

University of Vermont
Burlington, Vermont
Consistent with NRSA stipend and years of experience
Closing date
Sep 2, 2021
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We are currently accepting applications for a post-doctoral fellowship, and two pre-doctoral fellowships (NIH-NRSA), starting as soon as August 1, 2021, within an exciting training program on the application of Big Data methods to large-scale, multi-modal (neuroimaging, genetic, psychometric) datasets, in the context of addiction research. These positions are renewable for a second year.

Postdoctoral Stipend will be approx. $54,000, depending on post-doctoral experience (0-2 years).

Predoctoral Stipends will be approx. $26,000, with tuition covered as well.

The selected candidates will be based in the University of Vermont Department of Psychiatry, and may choose a mentor from a number of participating faculty during the interview process.  In addition to the Department of Psychiatry, the selected candidate will have the opportunity to interact and collaborate with faculty across a broad range of departments, within several different colleges at UVM.  These include Cellular, Molecular, and Biomedical Sciences, Experimental Psychology, Clinical Psychology, as well as the Departments of Mathematics and Statistics, and Computer Science.  Trainees participate in activities of the Vermont Complex Systems Center, and have supercomputing capability through the Vermont Advanced Computing Core.  Trainees have direct access to local expertise with large neuroimaging datasets including IMAGENENIGMA-Addiction, and The Adolescent Brain Cognitive Development (ABCD) Study. This is a far-reaching and truly interdisciplinary opportunity for the selected candidates to receive state-of-the-art training in the application of machine-learning methodologies to the largest existing neuroimaging datasets.

Postdoctoral candidates must have completed doctoral training in psychology, neuroscience, bioinformatics, or a related discipline, and have a record of research in genetics or neuroimaging.  Programming experience (MATLAB, Python, R, etc.) will be highly valuable, but is not absolutely required as a prerequisite, (though interest in learning to program is an absolute must). All candidates must also demonstrate some basic mathematical and statistical competence, and show interest in expanding their knowledge in this area.  Trainees are selected on the basis of academic record, interviews, and references, and all candidates must be U.S. citizens, noncitizen nationals, or lawfully admitted for permanent residence at the time of appointment

For the Post-Doctoral position, the candidate will be responsible for neuroimaging and/or genetic data analysis. For more details on the predoctoral positions, contact us by email (addresses below). All candidates will be expected to prepare manuscript(s) on a project designed by the candidate themselves in collaboration with their chosen mentor for publication.  Additional responsibilities will include:

  • Completing coursework (1 course/semester) for the Certificate of Graduate Study in Complex Systems
  • Attending lab meetings (1/week), journal clubs (1/week), and a program-specific seminar.
  • Gaining experience designing experiments and collecting data.  
  • Preparing a grant application (postdoctoral only) at the conclusion of the training program.



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