The Institute for Human and Machine Cognition (IHMC) seeks a Ph.D. in Computer Science (or related area) to work on a new project on Evidence Based Paraconsistency. This research aims to develop an evidence based paraconsistency framework that includes both logical and non-logical components. Unwarranted inconsistencies are weeded out based on objective evidence in the form of approximate relative frequency data and logical background knowledge, in conjunction with evidential probability and paraconsistent logic. The paraconsistent method together with a measure of partial consistency will be developed following an analysis of the target data characteristics.
The candidate will also have the opportunity to work in other areas of interest including: human-centered computing, autonomy control systems, autonomous task learning systems, software agents, agent learning, constraint reasoning, Bayesian networks, Markov decision processes, human-robot interaction and teamwork, mixed-initiative interaction and adjustable autonomy, speech-based dialog and collaboration, natural language understanding, and reasoning systems. IHMC offers an exciting interdisciplinary research environment in which initiative, creativity and collaboration are highly valued.
This project is nominally two years. We seek a candidate with strong background in both logic and statistics, and proficiency in computer programming. The candidate must be a US citizen and must have been awarded a PhD before the start of the position.
Information about IHMC can be found at http://www.ihmc.us Inquiries and applications should be sent by email (preferred) or snail mail to
Choh Man Teng
Institute for Human and Machine Cognition
40 South Alcaniz Street, Pensacola FL 32502 USA
Please include a cv and the names and contact details of three references. Applications are accepted until the position is filled.