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Position Detail

Seeking a postdoctoral scholar to work at the interface of computational physics, computer graphics, and learning

Computer Science

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.

A successful postdoctoral candidate is expected to work closely with the PI on research projects generally related to advancing simulations. This could involve writing GPU/TPU/MPI code to develop high-performance simulation codebases; using big data, neural networks, etc. to build statistical models for use in simulations; working with computer vision and real-world experiments to build databases of physical phenomena that can be learned from and used by simulations; using state-of-the-art numerical methods to simulate various types of special effects or physical phenomena; extending some of the PI's existing projects to new domains; using cloud computing to enhance simulation science; achieving real-time performance for high-fidelity simulation methods; deploying simulation methods in mixed reality environments; etc. Research is expected to result in publications in top-tier venues like SIGGRAPH, JCP, CVPR, etc.; so, candidates with existing publications in those venues are strongly encouraged to apply.

A postdoctoral fellowship appointment will initially be for one year, with the possibility of renewal each year based on performance. The positions include stipends, health insurance coverage, and support for participation in conferences and early-career mentoring events.

Vanderbilt has recently made tremendous investments in its Computer Science department via the Destination CS Initiative, and accordingly, we have a brand new renovated building and are in the midst of doubling the size of the faculty. Vanderbilt is located in Nashville, Tennessee, often ranked one of the most livable and friendliest cities in America.

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.

David Hyde
2021-12-02 14:49:10

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