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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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on recent advances in Higher-Order Mathematical Operational Semantics, a pivotal generalization of Turi and Plotkin's seminal approach to structural operational semantics. We seek an apt and motivated PhD
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
a standards-aligned semantic framework to ensure interoperability, reusability, and scalability across systems and sectors •Model system degradation over time by developing temporal knowledge graphs
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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. Probabilistic and differentiable algorithms for machine learning; 2. Programming language implementation for high performance computing; 3. Programming language semantics and foundations. Your focus will be
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in cyber-physical systems are susceptible to breaches of security, safety, and liveness guarantees. To this end, a rigorous mapping of selected semantics found in manufacturing automation protocols as
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models to identify patterns and structures in the learnt features that correlate with high-level semantic concepts. • Objective 2: Evolution of Learnt Features -- Analyse the hierarchical progression
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. •Detailed semantic understanding of operational environments for Machine Situational Awareness, particularly within contested, congested and degraded scenarios. •Fully autonomous robust intelligence data