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approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis, and improve the speed and quality of fixes. Application areas include developer tooling
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detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
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2027 - 03:22 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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2027 - 09:34 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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2027 - 01:44 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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, and improve the speed and quality of fixes. Application areas include developer tooling, reliability, and AI-assisted software workflows, with validation on real-world datasets from open-source and
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and forest modellers within the FORFUS consortium, and will be embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in
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, while providing additional benefits for the energy actors and green energy exploitation?” The PhD project will begin with reviewing the state-of-the-art, then optimisation formulations will be developed
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& Applications. This industrial PhD position is part of the “Autonomous Systems for Land, Air and Space” (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of industrial partners and