Employer will accept a Masters degree in Computer Science, Engineering or related field and 1 year of work experience in the job offered or in a computerrelated occupation. Position requiresbr br 1. Data related techniques including resampling methods, feature selection, regularization, dimensionality reduction, and manifold detection;br 2. Computer Vision techniques including image formation, photometry, color, image feature detection, and object recognition;br 3. Algorithms for supervised and unsupervised learning from data including logistic regression, conditional random fields, nearest neighbor methods, kernel methods, decision trees, ensemble methods, and neural networks;br 4. Machine Learning based methods including Perceptrons, multilayer neural networks, radial basis function networks, support vector machines, hidden Markov models, Markov decision processes, and recurrent networks;br 5. Machine Learning methods for different types of data including 3D shape classification, segmentation, and symmetry detection;br 6. Supervised and unsupervised methods for advanced Statistical NLP; andbr 7. Algorithm Design and Analysis Techniques including divideandconquer, dynamic programming, data structures, graph search, algebraic problems, randomized algorithms, lower bounds, probabilistic analysis, and parallel algorithms.
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