University of Vermont (UVM)

Postdoctoral Fellowship in Neuroimaging and Complex Systems

University of Vermont (UVM), United States

Burlington, VT, United States

Currently accepting applications for postdoctoral fellowship (NIH-NRSA), starting as early as Fall 2019, within an exciting new training program on the application of Big Data methods to large-scale, multi-modal (neuroimaging, genetic, psychometric) datasets, in the context of addiction research. Positions renewable for up to 3 years. 

Selected candidates will 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 will also participate in activities of the Vermont Complex Systems Center, and will have supercomputing capability through the Vermont Advanced Computing Core. Trainees will have direct access to, and be able to harness local expertise with large neuroimaging datasets including IMAGEN, ENIGMA-Addiction, and The Adolescent Brain Cognitive Development (ABCD) Study. Candidates will also have the opportunity to interact with collaborators at UCSD. This is a far-reaching and truly interdisciplinary opportunity for selected candidates to receive state-of-the-art training in the application of machine-learning methodologies to the largest existing neuroimaging datasets.

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 will be highly valuable, but is not absolutely required. Candidates must also demonstrate some basic mathematical and statistical competence, and show interest in expanding their knowledge in this area. Must be U.S. citizens, noncitizen nationals, or lawfully admitted for permanent residence at the time of appointment. 


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Postdoctoral Fellowship in Neuroimaging and Complex Systems