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Python, C/C++, CUDA, Fortran Knowledge of complexity and performance analysis and advanced data structures Knowledge of sparse matrix techniques Knowledge of methods for solving linear systems and
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place
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Stage Researcher (R1) Country Singapore Application Deadline 4 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Storage basics Docker basics Nvidia / CUDA basics Division project support Requirements Enrolled in a degree granting program. You will be subject to a background check and must be eligible to work in the
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++, CUDA, Fortran Knowledge of complexity and performance analysis and advanced data structures Knowledge of sparse matrix techniques Knowledge of methods for solving linear systems and eigenvalue problems
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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
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performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects
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Programme? Not funded by a EU programme Reference Number 2025-2026_4_321 Is the Job related to staff position within a Research Infrastructure? No Offer Description Offer description: A three-year position as
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of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 101142136 Is the Job related to staff