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Deadline: 2019-12-15
Location: Morgantown, USA

Postdoctoral Fellow in Computational Relativistic Astrophysics and Numerical Relativity at West Virginia University, USA

The Department of Physics & Astronomy at West Virginia University is seeking applications for a Postdoctoral Fellow in the field of Computational Relativistic Astrophysics/Numerical Relativity.

The successful candidate will:
* Develop next-generation numerical relativity software.
* Perform state-of-the-art simulations; analyze and visualize simulation data; and write scientific papers summarizing work.
* Work with a multi-institution network of collaborators on a variety of next-generation numerical relativity projects such as:
– Supercomputer simulations of magnetized binary neutron star mergers with IllinoisGRMHD (https://illinoisgrmhd.net) and realistic equations of state.
– A volunteer-computing / public-outreach project called BlackHoles@Home (https://blackholesathome.net), which is aimed at unlocking the consumer-grade desktop computer as a core tool for numerical relativity simulations of black holes and black hole binaries.

The preferred start date is August 15, 2020, though earlier start dates are acceptable. This position may be renewed in annualized increments for up to three years, contingent upon performance, need, and funding. The screening process will begin on December 15, 2019 and will continue until the position is filled.

-={ Qualifications }=-
* Ph.D. in Physics or a related field required.
* Strong programming skills (C and Python, or closely related languages).
* Experience in high-performance computing and large-scale data analysis.
* Excellent ability to communicate research to both experts and non-experts.

-={ Requirements }=-
* Resume or CV
* Cover letter
* Three letters of recommendation

West Virginia University Research Corporation is an Equal Opportunity/Affirmative Action Employer. The Corporation values diversity among its employees and invites applications from all qualified individuals, including minorities, females, individuals with disabilities and veterans.