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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- ARQUIMEA RESEARCH CENTER
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-CSIC and the STREAM research group at UCM, with access to GPU and high-performance computing resources and opportunities for international collaboration and research stays. Salary: approximately €1,655
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PID2024-155476OB-I00 (internal code J-03493), funded by the State Research Agency. Fuctions to be developed: Expand and improve GPU evaluation tools. Characterize existing GPU architectures in terms
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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, SimpleITK, MONAI, or nibabel), knowledge of Linux, Git, virtual environments and containers (Docker), and experience in training models on GPU in secure environments are required. Languages: Oral and written
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. · Knowledge in servers with GPUs, and development of Artificial Intelligence applications. · Solid understanding of Pattern Recognition, Machine Learning, and Deep Learning with applications to health issues
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). The applicant’s experience must be related to the tasks to be conducted, to the job description herein or to: · Training of multimodal models based on deep learning and GPU computing. · Evaluation and deployment
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evaluating them with clear performance criteria. Familiarity with real-time systems, embedded computing or GPU optimisation. Strong problem-solving and analytical skills. Fluent English, both written and
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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based