Job Posting

Computer Scientist, M.S. or Ph.D., expert in Machine Learning, especially probabilistic methods such as Bayes Nets, Partially Observable Markov Decision Processes, Markov Random Fields, or Particle Filters. Working knowledge of vector space methods such as Support Vector Machines, general Kernel-Based Learning, or Dimensionality Reduction in Sensory Motor State Space. General familiarity with Artificial Neural Networks, Decision Trees, Genetic Algorithms, and Reinforcement Lear- ning. Be part of a team designing a control system for industrial robots and autonomous vehicles that enables them to learn from their own experiences and to exhibit creative problem solving.

No phone calls, please. Submit resume to David Peters via email ›› davidpeters@universalrobotics.com

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