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and behavioural experimentation. Key research tasks include: Developing learning-based behavioural models of navigation, route choice and adaptation; Applying reinforcement learning, probabilistic
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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-Facilitated Blended Interaction Learning Spaces: Project framework A persistent challenge in higher education is the asymmetry between learning formats: lecture-based teaching offers students clear pathways
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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commissioning at installation, the system will continuously recalibrate itself in response to changing operating conditions. Reinforcement learning is envisaged as the primary methodological vehicle, enabling
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. linguistic bias), specifically the effects of grammatically un/gendered languages and the masculine default, on gendered representations using corpus linguistic methods; reveal how AI tools echo and reinforce