The primary focus of this position is advancing numerical relativity methods for compact binary systems. The successful candidate will conduct research in numerical relativity by extending efforts such as the Einstein Toolkit, BlackHoles@Home, and the superB project to perform state-of-the-art simulations of compact binaries (e.g., binary black holes, binary neutron stars, and black hole-neutron star binaries). Broader goals include generating accurate predictions for gravitational-wave and multimessenger signals and exploring challenging regions of parameter space. Open until filled, however, applications received on or before January 25, 2026 will receive first consideration.
Required Experience
- Demonstrated research in numerical relativity, computational general relativity, or a closely related area of computational physics.
- Experience with PDE solvers (elliptic and/or hyperbolic), numerical methods, and scientific software development.
- Proficiency in C/C++ and Python, with experience in HPC environments (e.g., MPI/OpenMP; GPU experience a plus).
- Record of peer-reviewed publications appropriate to career stage.
Required Education
- Ph.D. in Physics, Astrophysics, Applied Mathematics, Computer Science/Engineering, or a closely related field by the start date.
Additional Preferred
- Strong scientific communication skills (written and oral).
- Ability to work independently and collaboratively within a team.
- Commitment to reproducible research (version control, testing, documentation).
- Experience generating binary black hole initial data (conformally flat/curved) on curvilinear/multipatch/multidomain/AMR grids.
- Experience with Einstein Toolkit, NRPy / NRPyElliptic, GRHayL, IllinoisGRMHD, or comparable NR/GRMHD codes.
- Background implementing or benchmarking radiation transport (neutrino or photon) in GR.
- Workflow on supercomputers (e.g., Slurm/PBS), CI/testing, and contributions to open-source scientific software.
- Familiarity with gravitational-wave modeling and catalog/campaign paper authorship.
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