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Field
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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including workload schedulers, storage systems, and distributed compute nodes. Applies analytical methods to evaluate system performance, identify bottlenecks, and implement corrective actions to improve
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 16 days ago
Python, e.g., Ray, Dask); Very good knowledge of hardware and software technologies in the areas of distributed computing and Big Data; Experience with container management tools (Docker, Singularity) and
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all fields of electrical and computer engineering including power systems, parallel and distributed systems, mobile systems, control systems, electromagnetic and transmission lines, embedded systems
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient
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, academic-year position at the rank of Assistant Professor starting in Academic Year 2026-2027, with preference given to candidates specializing in Cloud/Cluster/Distributed Computing, Algorithms and Theory
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tools (OpenXDMod), distributed and parallel file systems (CEPHFS, NFS, Lustre, BeeGFS), and virtualization platforms (Openstack) Rewards and Benefits This position is located in Ithaca, New York
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing
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of the broader SKA-Low Computing and Software group, which delivers advanced computing and technology solutions for the SKA Project. This group works on integrated control systems, high-performance
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, and tools used to program, profile, and debug parallel scientific applications and workflows, such as MPI, OpenMP, CUDA, C++, Rust, Python, or Fortran. Knowledge of the Linux environment. Excellent