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RAP opportunity at Naval Research Laboratory     NRL

Computational Models of Perception and Attention


Naval Research Laboratory, DC, Information Technology

opportunity location
64.15.18.C0633 Washington, DC 203755321


name email phone
Andrew Lovett 865.776.1430


This interdisciplinary research project explores visual perception and attention within a computational system. The work draws inspiration from human psychology to develop software that generates high-level descriptions of visual scenes in a human-like manner. The software is guided by a model of attention that focuses processing on task-relevant objects and ignores irrelevant details.

The ideal candidate will have a strong programming background and an interest in artificial intelligence and cognitive science. Particular topics of interest include perception & attention, spatial reasoning, and qualitative spatial representations. Although the focus will be on computational work, there will be opportunities to conduct empirical research with human participants, in order to explore questions about human perception and to compare human behavior against the computational system’s behavior.


* Lovett, A., Bridewell, W., & Bello, P. (2019). Selection enables enhancement: Modeling a key spatial ability. Journal of Vision, 19(14).

* Lovett, A., & Forbus, K. (2017). Modeling visual problem-solving as analogical reasoning. Psychological Review, 124(1), 60-90.

* Lovett, A., & Forbus, K. (2017). Topological relations between objects are categorically coded. Psychological Science, 28(10), 1408-1418.

key words
Cognitive science; Artificial intelligence; Visual perception; Attention


Citizenship:  Open to U.S. citizens and permanent residents
Level:  Open to Postdoctoral applicants


Base Stipend Travel Allotment Supplementation
$94,199.00 $3,000.00
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