EMPLOYER WILL ACCEPT A PHD DEGREE IN COMPUTER SCIENCE, ENGINEERING, APPLIED MATHEMATICS, PHYSICS, OR RELATED FIELD. POSITION ALSO REQUIRES COMPLETION OF A UNIVERSITYLEVEL COURSERESEARCH PROJECTINTERNSHIPTHESIS, OR 6 MONTHS OF EXPERIENCE, IN EACH OF THE FOLLOWINGbr br 1. ALGORITHMS, DATA STRUCTURES, OR SYSTEMS SOFTWARE;br 2. SOLVING ANALYTICAL PROBLEMS USING QUANTITATIVE APPROACHES;br 3. GATHERING, MANIPULATING, OR ANALYZING COMPLEX, HIGHVOLUME, HIGHDIMENSIONALITY DATA FROM VARYING SOURCES;br 4. COMMUNICATING COMPLEX RESEARCH IN A CLEAR, PRECISE, AND ACTIONABLE MANNER;br 5. RESEARCH IN TOPICS CLOSELY RELATED TO MACHINE LEARNING, NLP, RECOMMENDATION SYSTEMS, PATTERN RECOGNITION, SIGNAL PROCESSING, DATA MINING,br ARTIFICIAL INTELLIGENCE, INFORMATION RETRIEVAL, OR COMPUTER VISION;br 6. PERFORMING RESEARCH THAT ENABLES LEARNING THE SEMANTICS OF DATA IMAGES, VIDEO, TEXT, AUDIO, OR OTHER MODALITIES AND ADVANCES THEbr TECHNOLOGY OF INTELLIGENT MACHINES;br 7. DEVISING BETTER DATADRIVEN MODELS OF HUMAN BEHAVIOR;br 8. ADAPTING STANDARD MACHINE LEARNING METHODS TO BEST ENTERPRISE MODERN PARALLEL ENVIRONMENTS DISTRIBUTED CLUSTERS, MULTICORE SMP, ORbr GPU;br 9. DEVELOPING HIGHLY SCALABLE CLASSIFIERS AND TOOLS LEVERAGING MACHINE LEARNING, STATISTICS, REGRESSION, RULESBASED MODELS, ORbr MATHEMATICAL MODELS; ANDbr 10. JAVA, C, PERL, PHP, OR PYTHON.
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