We are seeking a postdoctoral fellow to join a consortium of leading addiction researchers working on an exceptionally large neuroimaging-genetics project. ENIGMA-Addiction (http://www.enigmaaddiction.com) performs secondary analyses on datasets contributed by labs from over the world. The uniquely large sample sizes with multi-modal neuroimaging data enable numerous in-depth investigations of the neurobiology of drug dependence. The successful applicant will join a vibrant lab with considerable experience working with large datasets. We host a T32 trainee grant that focuses on applying machine learning analytic techniques to large neuroimaging-genetic datasets, and we are a member of the ABCD and IMAGEN consortia. The successful applicant will be able to conduct novel and robust analyses encompassing genetics, neuroimaging and behavioral measures focused on understanding the neurobiology of drug use and dependence.
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 required as a prerequisite. As a Post-Doctoral researcher, the candidate will be responsible for neuroimaging and/or genetic data analyses on projects designed by the candidate themselves. These positions are renewable for up to 3 years. Stipends will be approx. $49,000, depending on previous post-doctoral experience.
The University of Vermont is a premier small research university and is based in Burlington Vermont, a town that is perennially ranked as one of the USA’s most livable small cities known for its healthy lifestyle, music and food scenes. Interested applicants should contact Hugh.Garavan@uvm.edu and firstname.lastname@example.org for informal inquiries.