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, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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knowledge exchange with top research environments worldwide. The positions are in part funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection
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chain systems. Your primary responsibility will be to carry out high-quality research within data-driven and model-based manufacturing systems engineering. You will work on developing innovative concepts
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makroøkonomiske forskningsgruppes igangværende arbejde med at videreudvikle sin makroøkonomiske model for at styrke dens anvendelighed i forbindelse med analyser af den grønne omstilling. Mere specifikt
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written and spoken English. Experience with some of the areas of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi
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involve the model development for noise prediction from cavitating flows around ship propellers. How to apply Your application must include the following: o Application, stating reasons for applying
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, including model development. You have experience using Computational Fluid Dynamics and thermal models as tools to support design and development decisions, rather than solely as post-design analysis
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Systems. You will teach and supervise students, and you will take part in project supervision in accordance with Aalborg University’s problem-based learning model. This includes guiding student
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, MATLAB/Simulink, Julia, hardware in the loop implementation or comparable tools. Experience with one or more relevant methods, such as multi-objective optimization, model predictive control, mixed