Postdoctoral Fellow in digital twins based identification and control

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About the position 

This postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The position is within a project seeking to improve energy distribution and enhanced furnace efficiency in Submerged Arc Furnaces (SAFs) through improved control systems. The project is in collaboration with NORCE and several industrial partners (Elkem AS, Eramet Norway AS, Finnfjord AS and Wacker Chemicals Norway AS, major players in the production of silicon and ferroalloys). In more details, the project intends to explore previously developed metamodels of SAFs and combine them with data-driven modelling into “Digital Siblings” (a major step towards appropriate future Digital Twins), mirroring the typical electric behaviour of SAFs. This tool will then apply existing operational data, combined with some required new measurements, to identify the inner, hidden, electrical states within the furnaces, to be then used to improve the furnaces control systems.

Your immediate leader is Damiano Varagnolo, professor at the Department of Engineering Cybernetics.