Post-Doctoral Fellow, Memory Division at University of Virginia

Posted in Other 13 days ago.

Location: Charlottesville, Virginia

Job Description:

The University of Virginia Department of Neurology - neuropsychology division is pleased to announce a new opportunity for recent Ph.D. graduates seeking specialized research training. Through the mentorship from our committed memory disorders faculty, the Fellow will gain invaluable experience on novel projects that align with the Virginia Alzheimer's Disease Center goals in particular research involving a caregiver/person with dementia focus. The overall goal of this program is for the Neuropsychology Fellow to develop: foundational knowledge and principles of study design, conduct, and data analysis; and research expertise supporting an academic career in neuropsychology.

Fellows will collaborate and take a primary role in conducting research projects encompassing dementia and caregiver related work. Projects could span a variety of research disciplines including retrospective and prospective clinical research, systematic reviews and meta-analyses, population-based database mining and innovative product development. Fellows will have the opportunity to complete projects already in progress, but when possible will oversee projects from initiation to completion.

Qualified candidates must be enrolled in or have completed a PhD in psychology. The successful candidate for the fellowship will have a strong interest in clinical research within neurodegenerative disease, with prior experience in experimental design, data assessment/interpretation, scientific presentation, and scholarly writing.

Basic eligibility requirements:

1) Minimum 1.5 year commitment (2 plus year commitment will be preferred)

2) Prior clinical research experience and publication record is strongly encouraged and will be preferred

This position will remain open until filled. This is an Exempt level, benefited position. This position is a restricted position and is dependent upon project need, availability of funding and performance. The University will perform background checks on all new hires prior to employment. For questions about the position or the application process, please contact Daniel Strong, Senior Recruiter at

How to Apply:

Applications that do not contain all of the required documents will not receive full consideration, please note that multiple documents can be uploaded in the box.

Process for External Applicants: Please apply through Workday, and search for 'R0043406'. Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, and address).

Process for Internal UVA Applicants: Please apply through your Workday Home page, search "Find Jobs," and search for 'R0043406.' Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, and address).


Education: Doctoral degree
Experience: Extensive


This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

COVID Vaccination Requirement and Guidelines

Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.

The University of Virginia, i
ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

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