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Fire Dynamics Simulator CFD code Experimental validation of simulations Machine learning for accelerated evaluation of radiative properties The doctoral degree will be awarded upon successful
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quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum
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computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains
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, especially dynamic simulations Experience with signal processing, time series analysis or machine learning Programming skills in MATLAB and/or Python What we offer The position is fixed term and follows
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science, communications engineering, telecommunications, or a related field (with a CGPA of at least 4/5) Experience (e.g. coursework, projects, etc.) in AI and machine learning, including understanding
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Laboratory and field-based structural testing and data acquisition Direct and indirect sensing methods for bridges, including remote sensing techniques Machine learning and artificial intelligence for
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optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a key focus across four application
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machine learning, computer vision, multimodal perception, probabilistic modeling, and interpretable artificial intelligence. The research will be conducted in collaboration with leading national and
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interpretation of host stars’ dynamo mechanisms and magnetic activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind
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theory, and expertise with one or several of the following concepts: machine creativity, agency, autonomy, motivation/teleology, value grounding and open-endedness . If in doubt, please contact us with