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Washington University in St. Louis

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Postdoctoral Research Associate in Visual Perception, Social Cognition, and Computational Neuroscience Washington University in St. Louis in United States

Degree Level

Postdoc

Field of study

Psychology

Funding

Full-time employment with base pay commensurate with experience. A comprehensive benefits package is available, subject to employment status, FTE workload, and weekly standard hours; no specific stipend or tuition coverage is stated.

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Country

United States

University

Washington University in St. Louis

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Keywords

Psychology
Cognitive Science
Biomedical Engineering
Neuroimaging
Social Cognition
Neuropsychology
Neurocognition
Multimodal Analysis
Computational Modelling
Fmri
Programming Language

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About this position

Washington University School of Medicine is recruiting a full-time Postdoctoral Research Associate in Radiology for the Multimodal Cognitive Neuroscience Laboratory and Cao Lab in St. Louis, Missouri, United States.

The researcher will investigate the neural and computational mechanisms underlying visual perception and social cognition. Projects may involve advanced 3T and 7T fMRI, human intracranial electrophysiology, behavioral experimentation, computational modeling, and multimodal analysis of neuroimaging, electrophysiological, and behavioral data.

Working within the Neuroimaging Labs Research Center and Mallinckrodt Institute of Radiology, the postdoctoral associate will design and conduct experiments, analyze and interpret data, prepare manuscripts and presentations, contribute to funding applications, maintain reproducible research records, collaborate across disciplines, and mentor students or research staff as appropriate. The role offers individualized faculty mentorship and the opportunity to develop an independent scientific profile.

Applicants must hold a Ph.D., M.D., or equivalent doctoral degree. Preferred qualifications include training in neuroscience, cognitive science, psychology, biomedical engineering, computer science, or a related field; experience with fMRI or electrophysiology and neuroimaging, neural, behavioral, or computational data; Python or MATLAB programming; strong research productivity and communication skills; and the ability to work independently and collaboratively. Experience with multimodal integration, AI-assisted scientific workflows, and reproducible computational pipelines is advantageous.

The position is on campus and full time in St. Louis. Base pay is commensurate with experience, with benefits subject to eligibility. No application deadline is stated. Applications should be submitted through the Washington University Workday portal.

Funding details

Full-time employment with base pay commensurate with experience. A comprehensive benefits package is available, subject to employment status, FTE workload, and weekly standard hours; no specific stipend or tuition coverage is stated.

What's required

A Ph.D., M.D., or equivalent terminal or doctoral degree is required. Preferred candidates will have a Ph.D. or equivalent in neuroscience, cognitive science, psychology, biomedical engineering, computer science, or a related discipline by the appointment start date; a strong research background in fMRI and/or electrophysiology; experience analyzing neuroimaging, neural, behavioral, or computational data; proficiency in scientific programming, particularly Python and/or MATLAB; research productivity appropriate to career stage; strong written and oral communication skills; and the ability to work independently and collaboratively in an interdisciplinary environment. Experience integrating multimodal neuroimaging, electrophysiological, and behavioral data; using agentic AI or AI-assisted scientific workflows; and developing reproducible data-processing pipelines, workflow systems, or reusable computational tools is preferred.

How to apply

Apply through the Washington University in St. Louis Workday application portal using the direct application link. Review the postdoctoral information page and prepare documents requested in the online application.

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