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Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and testing of model-free algorithms for real-time optimization
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learning algorithms, seismic hazard assessment in urban areas, and novel tools for measuring changes in time with ambient seismic noise. Minimum Education and Experience Ph.D in a related field. Preferred
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minimum qualification to be hired and to continue to be employed in the position. Essential Duties and Responsibilities Software development and maintenance Methods/algorithms development Computational
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Summary The Boyd Computational Social Science Lab is seeking a highly motivated post-doctoral scientist who is passionate about exploring the intersection of computational methods (e.g., machine learning
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and conduct empirical studies integrating computational and psychological approaches, drawing on methods from text analysis, machine learning, and AI. Develop novel tools, algorithms, or pipelines