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the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant REMODEL: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant
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. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). Strong programming ability in C++ or a related language. Experience in
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architectures (e.g. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). 3. Strong programming ability in C++ or a related language. 4
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integration with classical HPC; accelerator platforms and accelerated computing; parallel, distributed, and HPC programming models and languages; software design, verification, and optimization; energy
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organizing/publishing software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities
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software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities demonstrated through
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program generation and optimization Verification, testing and security of software systems Explainability of AI and of software engineering Software for distributed, highly-parallel AI systems Intelligent
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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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remains an active subject-matter expert in HPC frameworks, distributed computing, AI-accelerated software stacks, and large-scale workflow orchestration. The role supports faculty, research staff, and
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languages (e.g. C/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical