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Infrastructure? No Offer Description Work group: PGI-14 - Neuromorphic Compute Nodes Area of research: PHD Thesis Job description: Your Job: You will participate in an international team in an EU-funded Doctoral
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fellowship (BI) for a PhD Student 1 Research Fellowship(s) (BI) is(are) open at the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project/R&D institution “ROBERTA
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signature. Both black-box and white-box damage identification algorithms will be assessed. The resulting digital twin will serve as the foundation for a permanent SHM system for the galleries in the HADES URL
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algorithms, building models, and deploying systems. A PhD in a related field may substitute for two years of the required experience. Experience must include at least three (3) years of managing projects and
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algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning
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method, NSGA-II algorithm, heuristics, and rolling horizon approach. Minimum education and/or experience required: PhD with specialization in industrial engineering, modeling, or similar disciplines
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subject area or subject specialism. A4 Conversant in Python programming and deep learning algorithms for image analysis. For appointment at Grade 7: A5 Normally Scottish Credit and Qualification Framework
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) ● Dr. A. Proust (Mistras, France) Secondments (1 to 6 hosting months) Contact information ● tahar.kechadi@ucd.ie ● guillaume.charrier@inrae.fr How to apply https://www.eu4greenfielddata.eu/phd-positions
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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reliable models and algorithms in these contexts (weakly supervised, semi- or unsupervised learning, domain generalization, active learning, federated learning, privacy preservation, noise and uncertainty