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- Research Computing Team Work Type- Hybrid Are you a highly motivated individual who thrives in a fast-paced, high-performing, dynamic team environment? This position works with a broad range of faculty
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Researcher (R3) Country Morocco Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov
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: Collaboration: Collaboration and cross-fertilization between labs are strongly encouraged. HPC & AI Supercomputing Resources: An extensive GPU-based accelerated computing facility and high-performance data
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, immersive, and interactive technologies. Highly proficient in real-time engines, AI-assisted tools, GPU-accelerated platforms, and emerging computational design workflows, you combine creativity with
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of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has
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Deadline 16 Jan 2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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background in machine learning, deep learning, and/or computer vision; Experience in programming. Python is a must, lower-level GPU programming experience is a bonus; Strong grasp on the English language
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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at Imperial-X or The Alan Turing Institute. They will interact with DataSig’s scalable computation objective of extending our RoughPy framework to support GPU/FPGA acceleration for real-time stream processin