Posting Summary: The Department of Psychology at the University of Virginia is seeking applicants for a postdoctoral Research Associate position in the field of computational cognitive neuroscience. The position will involve working on a project focusing on the development of new model-based methods of assessing cognitive state. The goal of the research project is to quantify fluctuations in cognitive performance with mathematical models of behavior combined within a Bayesian joint modeling framework with neural and other sensor data. The position will entail helping to design, collect, and analyze behavioral and neural (both fMRI and EEG) data, as well as, helping to develop the entire modeling and analysis ecosystem, parts of which we will release as open source software for the scientific community to use. The position will include preparation of manuscripts for leading peer-reviewed journals, as well as assistance writing grants to secure ongoing funding for the lab. Finally, the position will entail some supervision and collaboration with graduate students, research assistants, and undergraduate students in the lab. Candidates must have a Ph.D. in any field closely related to neuroscience, psychology, or computer science by the position start date and demonstrate a strong research background with excellent data analysis skills in at least one of the following fields: computational models of cognition (especially memory) and/or machine learning applied to neural data. Preference will be given to individuals who have prior experience with Python/C programming.
This is a one-year appointment. However, appointments may be renewed for one or two years (one-year increments), contingent upon available funding and satisfactory performance.
The University of Virginia is consistently ranked as a top public institution. Situated within iconic and historic Charlottesville, Virginia, with convenient airport and interstate access, we are located within one hour of Richmond and two hours of Washington D.C. Charlottesville is consistently ranked as one of the most livable cities in America. The postdoctoral affairs website at the following URL provides more information on resources for postdocs at the University of Virginia: http://postdoc.virginia.edu/.
To apply, candidates must complete a candidate profile through Jobs@UVa (hhtps://jobs.virginia.edu) and electronically attach the following: cover letter, curriculum vitae, and the contact information for three professional references; search on posting number 0621299.
Review of applications will begin August 10, 2017; however, the position will remain open until filled. The anticipated start date is August 2017.
Questions regarding the position and application process should be directed to Michelle Atwell at firstname.lastname@example.org.
The University will perform background checks on all new hires prior to making a final offer of employment.
The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply.
Founded by Thomas Jefferson, the University of Virginia opened in 1825 as the nation's first public university. A longstanding dedication to preeminence in both scholarship and teaching; top ranking in global satisfaction, collegiality and work/family issues on the COACHE survey of early career faculty; a commitment to excellence that is integrally connected with diversity and a broad array of ben...efits make the University of Virginia a prime choice for both faculty and staff. The University of Virginia is located in the small cosmopolitan city of Charlottesville near the Blue Ridge Mountains, 70 miles from Richmond and 110 miles from Washington, D.C. The University of Virginia remains the No. 2 best public university in the 2013 edition of the U.S. News and World Report rankings. In the 14 years since U.S. News began ranking public universities as a separate category, U.Va. has ranked either No. 1 or No. 2. U.Va. continues to rank in the Top 25 among the best of all national universities, public and private.