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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA team regularly participate in collaborative projects
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lithosphere-scale processes control
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut de physique et chimie des matériaux de Strasbourg Research Field Engineering Computer science Mathematics Researcher Profile
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, climate, and atmospheric remote sensing. The successful candidate will join the Large-Scale Pollution research team within the Spectroscopy and Atmospheres group and will work in close collaboration with
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of freedom. In practice, this is achieved by approximating an (extremely large) high-dimensional tensor fully describing the system as the product of (much smaller) low-dimensional tensors which mainly encode
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over a very large area, using sputtering deposition techniques. The overall objective of the project is to define the parameters of this technology (integration of high-performance phase-change materials
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dedicated e-beam evaporator, multiple dilution fridges with ultrafast control electronics, and TWPA read-out lines, as well as cryogenics engineers. Our team is large and diverse, providing the necessary
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with national/international collaborators from the ODUST consortium. • Access to HPC resources (e.g., IDRIS) for large-scale simulations. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5299
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming