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Ph.D. Program in Cognitive Experimental Psychology at University of Memphis

Country/Region : USA - United States

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The University of Memphis Department of Psychology invites applicants for the Ph.D. Program in Cognitive Experimental Psychology.
More info:
Application instructions:
Application deadline: January 15, 2019
A cognitive psychology specialization involves training in three primary areas: General cognition, psycholinguistics and discourse, and learning sciences. Training in this program integrates theory and data from all three emphases. Training also draws upon the Institute for Intelligent Systems (IIS), an active cognitive science research community, which includes faculty from the departments of Psychology, Communication Sciences and Disorders, Computer Science, Education, Educational Technology, Engineering, English, Mathematical Sciences, Philosophy, and Physics. We have a highly engaged and interactive program with two meetings per week, the Cognitive Brownbag Series on Mondays at 11:30 and the Cognitive Science Seminar on Wednesdays at 4 p.m., both in the FedEx Institute of Technology.
Faculty specifically accepting students include: Olney (, Pavlik (, and Huette (; however, strong applicants are urged to apply regardless, since the acceptance process is flexible. Other experimental faculty are described here (
1. General cognition. This research emphasis examines the cognitive processes used in the encoding, storage, and retrieval of linguistic and non-linguistic information. Within this emphasis, students and faculty collaborate on a number of topics, including:
motor, language and visual dynamics
memory, knowledge and skill acquisition
emotions and motivation
individual differences
symbolic and embodied cognition
computational and mathematical modeling
2. Psycholinguistics and discourse. This emphasis involves the processes and knowledge structures used in understanding and producing written and spoken language. A related goal is to better understand comprehension processes at all ages. Topics of interest in this area include:
discourse processing
semantics and pragmatics
conversation and dialogue
figurative language
linguistic corpus analysis
text coherence
multimodal communication
3. Learning sciences. In this emphasis, faculty and students investigate how recent developments in computer science and student modeling can be applied to learning, particularly the learning of complex domains of knowledge (e.g., physics). The overarching goal of this research is to apply principles of cognitive science to educational practice via technology to create automated learning environments. Research topics include:
intelligent tutoring systems
multimedia and hypermedia
learning from text
learning from multimedia
student modeling and adaptive problem selection
human-computer interaction
human-to-human tutoring
individual differences in learning

Last modified: 2018-12-28 08:37:26