Computational Models of Perception and Attention
This project develops AI software mimicking human visual perception and attention, focusing on task-relevant objects and offering opportunities for human behavior comparison.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 (Application Deadline)
Funding Amounts: $99,200 stipend plus $3,000 travel allowance; typical fellowship duration 2-3 years
Summary: Postdoctoral fellowship to develop computational models of human-like visual perception and attention, integrating AI and cognitive science with opportunities for empirical human research.
Key Information: Open to U.S. citizens and permanent residents; requires strong programming skills and interest in AI and cognitive science; relocation and health insurance benefits included.
Description
This postdoctoral fellowship opportunity at the Naval Research Laboratory (NRL) focuses on interdisciplinary research in computational models of visual perception and attention. The project aims to develop software inspired by human psychology that generates high-level, human-like descriptions of visual scenes. A key feature of the software is a model of attention that prioritizes processing of task-relevant objects while ignoring irrelevant details.
The research integrates artificial intelligence, cognitive science, spatial reasoning, and qualitative spatial representations. While the primary focus is computational, there are opportunities to conduct empirical studies with human participants to investigate human perception and compare it with the computational system’s behavior.
The ideal candidate will have a strong programming background and a keen interest in AI and cognitive science, particularly in perception and attention mechanisms.
