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system modelling and assessment methods. The candidates must present strong research achievements in at least two of the research fields and application areas mentioned above as well as proof of successful
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. The candidates are expected to demonstrate a high level of academic competence in separation technologies for particles, related experimental and modelling research, and analytics. The emphasis should be
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generation, software testing, architecture design, or other software process phases 4) integrating AI and machine learning into software systems 5) explainable and responsible AI models for software
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the university’s research platforms, such as Modelling Reality Through Simulation (MORE-SIM) and Integrated Energy Conversion Machinery (INERCOM) and it will collaborate with all laboratories at LUT, but especially
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candidates must have demonstrated expertise in at least one of the following fields of technology: 1)heat pump and refrigeration technology and applications 2)working fluids and modelling and/or testing