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Publisher
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University of Texas at Austin

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Postdoc in Structured Knowledge, Flexible Behavior, fMRI, and Computational AI Models The University of Texas at Austin in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Texas at Austin

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Keywords

Computer Science
Psychology
Cognitive Science
Biology
Neuropsychology
Reasoning
Computational Modelling
Fmri

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About this position

Alison Preston’s lab at The University of Texas at Austin is recruiting postdocs to study how people build structured knowledge and use it to act flexibly.

This opportunity is especially relevant for researchers in psychology, neuroscience, cognitive science, and computer science. The lab’s work includes behavioral research, fMRI, and computational/AI models, with a lifespan focus spanning children, adolescents, and adults.

The post emphasizes that applicants do not need experience with every method. Instead, the lab is looking for strong fit, curiosity, and interest in learning across methods.

No deadline, funding details, or formal application portal are included in the post. Interested candidates should follow the LinkedIn announcement and reach out through the lab’s contact channels if available.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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