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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 28 days ago
Description •Analysis of existing HPC workload-management simulators to identify opportunities to improve usability and extensibility. •Investigation of architectures that enable clean separation between
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24 Mar 2026 Job Information Organisation/Company Università degli Studi di Trento Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 13 Apr 2026 - 23:59...
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domain focuses applied research activities on HPC convergence, Big Data, and the orchestration of supercomputing resources. Frontier research focuses on Quantum Computing, Quantum Communication, bionics
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, the following elements will be positively evaluated: Previous experience in fully data-driven weather forecasting; Previous experience with downscaling climate data; Basic knowledge of HPC systems (e.g., SLURM
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programming skills (e.g., Fortran, Python; familiarity with Linux/HPC environments). strong motivation to work in an interdisciplinary environment bridging molecular theory, nanoscience, and light–matter
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SE + robotics / CPS. Experience with safety, explainability, or dependability of AI systems. Familiarity with HPC or large-scale experimentation pipelines. What We Offer A pioneering research team: You
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sensing. Familiarity with High-Performance Computing (HPC) and/or Cloud computing (openEO) Why Join Us? Work on high-stakes climate research projects with global impact. Access to state-of-the-art EO data
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models on HPC platforms. Team player skills with the ability to communicate technical knowledge in a clear and understandable manner. Capacity to work autonomously and collaboratively in a challenging
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Linux OS and related programming tools and environments. Experience with maintaining code repositories and code and data versioning (e.g., Git). Experience with HPC (e.g., Singularity, Docker, Slurm
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, thermodynamics, modelling; and/or ML/AI, data science, statistics, image analysis, scientific programming (Python/R/Julia), HPC; Strong motivation for interdisciplinary research and international collaboration