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Postdoc Position, Parallel Dynamic Meshing, University of Kansas


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Applications are invited for a full-time postdoctoral position with the Information and Telecommunication Technology Center (ITTC) at the University of Kansas. The initial appointment will begin in February 2015. The postdoc will join a project developing parallel dynamic meshing algorithms and software for computational simulations involving simulation-assisted medical interventions.

This position requires a PhD degree in computer science, applied or computational mathematics, mechanical engineering, or a related field, in a scientific computing area and research experience in unstructured meshing algorithms and high performance computing. Minimum 2 years’ experience with C/C++ and a parallel programing language and strong written and oral communication skills are also required. The postdoc researcher will work closely with a team of academics, Ph.D. students, and undergraduate researchers from computer science, biomedical engineering, mechanical engineering, and medicine. Knowledge of MPI programming and bioengineering applications and interdisciplinary research experience are a plus.

A full position description, required and preferred qualifications, and application instructions can be found at http://employment.ku.edu/staff/2221BR. For more information on ITTC see http://www.ittc.ku.edu. Review of applications begins 12/15/14, and will continue until the position is filled. 

 

Complete applications will include the following:
(1) A cover letter
(2) A full curriculum vitae
(3) A two- to three-page statement summarizing your research experience and achievements (including publications and software) and research plans
(4) Up to two research publications and/or preprints
(5) The names and contact information for three references

For further information about this position, please contact Prof. Suzanne Shontz at shontz@ku.edu.

KU is an EO/AAE. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, genetic information or protected Veteran status.

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