Postdoctoral researcher in neuroimaging and machine learning: University of Washington

Title : Postdoctoral researcher
Company : The University of Washington Neuroinformatics R&D Group
Term : This position is full-time (100% FTE), 12-months/year, with an initial term appointment of one year (12 months), with the possibility of renewal subject to satisfactory performance.
Location : Seattle, WA, USA
Salary : Salary will be commensurate with experience and employee benefits will be provided.
Apply here: Please email Ariel Rokem ( with:

1.Curriculum vitae
2.Names and contact information of three references.
3. Three reprints or preprints.
4. Links to relevant online resources, demonstrating relevant experience, such as GitHub portfolio.

Please reply to post below with any questions.

Job Details:

The Neuroinformatics R&D Group at the University of Washington Department of Psychology is seeking a postdoctoral researcher to work on a collaboration with the Adult Changes In Thought Study (ACT - Maelstrom Research). Through this collaboration, we will develop novel machine learning techniques to study large, noisy and heterogeneous datasets of human brain imaging data. These methods will be applied to the understanding of changes in cognition that occur in human brain aging, with an emphasis on the effects of neurodegenerative diseases, such as Alzheimer’s Disease. Applicants should have a Ph.D. degree, or foreign equivalent, in Psychology, Computer Science, Physics, Statistics, Neuroscience, or another relevant field by the start of the appointment. A track record and expertise with neuroimaging data, machine learning, deep learning and software engineering would all be beneficial.

Review of applications will begin on December 1st and will continue until the position is filled. Applications will be reviewed thoughtfully and will remain under consideration until the position is filled.

The University of Washington is an Equal Opportunity Employer and encourages applications from applicants who can contribute to the diversity of the university and department.

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