The successful candidate will be associated with the applications group at the MPCDF and will work primarily on the high-performance Eigenvalue Solver library ELPA. The main task will be to port and optimize the ELPA library for upcoming exascale computer architectures, in the context of the EU Horizon 2020 “Novel Materials Discovery (NOMAD)” Centre of Excellence.
The applicant should hold a PhD in physics, computer science, applied mathematics, or a similar subject. A strong background in the parallel programming models MPI and OpenMP and in scientific software development is mandatory. Ideally, the candidate offers a background in numerical linear algebra and has a profound knowledge of the ScaLAPACK library, complemented with some familiarity of major high-performance eigenvalue solver libraries and algorithms. Knowledge in GPU programming, e.g. with CUDA, HIP, SYCL, or OpenACC is considered as a plus, but is not strictly necessary.
We offer the opportunity to work on state-of-the-art numerical algorithms, and specifically on one of the leading numerical libraries in the field of eigenvalue solvers, with access to the latest supercomputer technologies. Working in the NOMAD Centre of Excellence, the applicant will be embedded in an international consortium of leading experts in computational materials science and high-performance computing, and has the opportunity to present at national and international conferences.
The full-time position starts as soon as possible and is initially limited for a maximum period of three years. Salary will be based on experience according to the German TVöD.
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