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Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic
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/RFSoC boards, generating synthetic training datasets and extracting robust features for SIGINT and spectrum‑monitoring pipelines Develop and integrate TDOA/FDOA‑based geolocation methods into RF
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uncooperative spacecraft . Develop novel methods for characterization and quantification of input-output bounds in an AI-augmented perception system: Develop novel methodologies and tools for characterizing and
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about changes in enamels manufacturing methods. A key objective of this project will be to assess to which extend data science numerical tools could help us for processing large datasets of different
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procedures. In a next step of the project, historians will examine to which extent the results obtained by AI challenges existing methods used in historical sciences. Five complementary techniques (µ-Raman, UV
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vibratory extraction and jetting, supported by experiments at multiple scales and advanced numerical modelling. By studying ageing effects on extractability and predicting mechanical responses, the project