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years or a SU PhD scholarship (4+4) for a period of up to four years in Probabilistic Methods in NLP: Representation Learning or AI Alignment provided the necessary funding is available. Where to apply
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applications for a paid PhD research fellowship position within the field of probabilistic machine learning to be filled earliest by 1 January 2026 for a period of three years. The research project will
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. Incorporating quantum-inspired methodologies will enable a more nuanced understanding of the probabilistic and interconnected nature of market dynamics and material cycles. As well as a dissertation, and a number
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous
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energy sources as the project evolves. Application of the SIMPL approach ensures a discussion of how assumptions and key factors are considered when forecasting lab scale results, into full scale futures
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
for realistic haptic control and feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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integrate feedback loops to improve accuracy. Create AI-based Digital Twin models to perform scenario testing, monitor and forecast environmental changes, test hypothetical scenarios, and provide actionable
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, Computers in Industry, Technological Forecasting & Social Change, Journal of Technology Transfer, etc. The SDU TEI section is a highly international and interdisciplinary group of faculty members, with