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highly motivated Doctoral Research Fellow in a full time (100 %) fixed term position available for three (3) years at the Faculty of Computer Science, Engineering and Economics, Department
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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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: “Intelligent nanoparticulate formulation for the development of new antibiotics,” in which we seek to examine whether the use of artificial intelligence can be a tool for the rational design of nanoparticulate
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based on the candidate’s background, for example, by integrating artificial intelligence (AI) in the analyses. The successful candidate will join a vibrant, interdisciplinary environment with access
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novel computational models for intelligent analysis multi-variate time-series data during their PhD studies. actively take part in inter- and multi-disciplinary research activities relevant to AI Hub
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systems such as fuel cells and batteries. Intelligent control and management systems will be designed to enhance efficiency, sustainability, and seamless integration. Developed models and strategies will be
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or Engineering geology, Geotechnical engineering, Structural or civil engineering (Specialized in underground construction), Computational engineering or applied mathematics, Data science or Artificial
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their PhD studies within the period of employment. This call does not include the PhD programme in artistic research. A call for proposals for artistic research will be announced in a separate call. Strategic
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explore how students and teachers interact with artificial intelligence (AI). The position focuses on identifying opportunities, risks, and challenges emerging from this human-AI symbiosis, and on guiding
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combination with multi-fidelity response models. The multi-fidelity models may include combinations of physics-based response models, Artificial Intelligence (AI) models and probabilistic methods. Your