Seeking a postdoctoral scholar to work at the interface of computational physics, computer graphics, and learning
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Our group is conducting research in computational physics, computer graphics, and learning/data science - and in particular, at the interfaces of these fields. The overarching goal of our group is to improve the accuracy and efficiency of simulations. Often we do this via new numerical methods for computational physics and computer graphics (physical simulations are commonly used in engineering as well as for movies, games, etc.). Recently, with the advent of big data, computer vision techniques, GPUs, etc., data-driven simulation and the incorporation of learning/statistical models have become promising research themes. Similarly, knowledge from classical computational mathematics, simulation methods, etc. can benefit algorithms used for problems like neural network training.
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To apply, please send a cover letter, CV, and list of three references by email to David Hyde. Applications will be reviewed on a rolling basis. |
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David Hyde : david.hyde.1@vanderbilt.edu |
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2021-12-02 14:49:10 |