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Fully funded Ph.D. position in evolving artificial intelligence (neural networks

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  • Jeff
    **Please forward this email to anyone who might be interested** A fully funded computer science Ph.D. position is available in any of the following areas,
    Message 1 of 1 , Feb 13, 2013
      **Please forward this email to anyone who might be interested**

      A fully funded computer science Ph.D. position is available in any of the following areas, especially in combinations of them: evolving artificial intelligence, neural networks, robotics, and deep learning. Postdoctoral positions are also available, but under different funding arrangements (please email jeffclune@... for details). Positions ideally start this coming Fall (August 2013), but alternate start dates are possible.

      I (Jeff Clune) direct the Evolving Artificial Intelligence Lab at the University of Wyoming. The lab focus is on evolving artificial intelligence by producing artificially intelligent robots, including physical robots and agents in simulated worlds, such as video games. The lab will also study other bio-inspired AI techniques, such as deep learning. Part of these efforts will involve investigating how evolution produced the complex, intelligent, diverse life on this planet by trying to computationally recreate it. A major focus will be on evolving large-scale, structurally organized neural networks (i.e. networks with millions of connections that are modular, regular, and hierarchical). I am also interested in combining neuroevolution with learning algorithms (Hebbian, neuromodulation, etc.).

      Please see my website (http://JeffClune.com) for example publications, press articles about the work, videos, etc. Here are some keywords that describe related fields: evolutionary algorithms (also known as genetic algorithms or evolutionary computation), neural networks (including evolving neural networks, having them learn, deep learning, and computational neuroscience), robotics, artificial intelligence, and research into the evolution of intelligence, complexity, evolvability, and diversity.

      If you are interested in joining the lab or would like more information about the positions, please follow the instructions at http://jeffclune.com/positionsAvailable.html

      Here is a video that summarizes my research: http://goo.gl/wA6Fe
      Other videos about my research are here: http://jeffclune.com/videos.html

      The University of Wyoming is located in Laramie, a college town in the heart of the Rocky Mountain West. Nestled between two mountain ranges, Laramie has more than 300 days of sunshine a year and is home to year-round outdoor activities including hiking, camping, rock climbing, downhill skiing, cross-country skiing, fishing and mountain biking. Laramie is also near many of Colorado's major cities and university communities (e.g. Fort Collins, Boulder, and Denver).

      The University of Wyoming is an Affirmative Action/Equal Opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, pregnancy, sexual orientation, age, national origin, disability, marital, veteran or any other legally protected status.

      Best regards,
      Jeff Clune

      Assistant Professor
      Computer Science
      University of Wyoming
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