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on the aptitude of the candidate(s), the project could be oriented on the instrumentation and the development of signal processing algorithms, time series data processing and modeling, statistical analysis and
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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patterns. Ensure consistency and correctness through formal verification [7] (e.g., Event-B, Rodin). Interactive Security Assistance Develop algorithms to analyse system specifications and models, mapping
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patterns. Ensure consistency and correctness through formal verification [7] (e.g., Event-B, Rodin). Interactive Security Assistance Develop algorithms to analyse system specifications and models, mapping
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. Candidates should provide proof of excellence in teaching. They should show expertise in their specific area and experience in Data Science and/or Software development, including academic publications and
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
. To this end, it develops advanced numerical methods that are integrated into open-source platforms deployed on state-of-the-art HPC environments. This internship aims to develop and validate a high-order hybrid
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and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, and graph signals. The objectives The project aims to develop unsupervised online CPD
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the development of more efficient online learning algorithms for manifold-valued data streams, with an initial focus on change-point detection, opening the door to new unsupervised data exploration methods. Next
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in