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Two postdoc positions for sparse computations on emerging processors

Simula Research Laboratory Published: September 21, 2020
Oslo, Norway
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About the Positions

Simula Research Laboratory invites outstanding applicants for two 2.5-year post-doc positions, who will carry out research activities within the SparCity project funded by EuroHPC. The project's overall objective is to create a supercomputing framework of efficient algorithms and coherent tools for maximising the performance and energy efficiency of sparse computations on emerging HPC systems, while also opening up new usage areas for sparse computations in data analytics and deep learning.

The project will have full access to resources at eX3, the Simula-operated national infrastructure for heterogeneous computing covering several architectures, including one of the first 64 processor IPU-PODs from Graphcore.

The starting date of both positions is January 1, 2021.


The two positions will carry out research activities of the SparCity project that are designated for the Simula side, under supervision and assistance of senior staff. The two post-docs are also expected to actively collaborate with researchers at the other partners of the project. Writing scientific publications and software code, as well as disseminating/reporting the project’s research findings, are included in the responsibilities of the two positions. Moreover, the two post-docs are expected to become an integral part of Simula’s HPC department, so they will contribute to strengthening the HPC research activities at Simula.

Required profile

All applicants must hold a PhD degree in computer science or computational (data) science. The applicants should also have a strong track record in scientific publication and dissemination. All applicants must have research expertise in at least two of the following subjects:

  • Heterogeneous parallel computing
  • Domain-specific processor architectures (hardware and/or applications)
  • Performance optimization/tuning and modeling
  • Automated code generation
  • Mesh partitioning or graph-based combinatorial optimization
  • Graph neural networks
  • Numerical solution of PDEs based on unstructured meshes

Please visit Simula's web site and the full job announcement to learn more about us and this particular opportunity.

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