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Field
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energy needs, reducing levelised cost of energy (LCOE) and decarbonisation. Optimal utilisation of sustainable heat requires storing large amounts of heat to account for seasonal supply and demand
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through optimization of ion channels incorporation and activity in lipid bilayers. The project sits at the interface of biophysics, engineering and biochemistry. The PhD student will be part of
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extending the annual operation period is advantageous for meeting energy needs, reducing levelised cost of energy (LCOE) and decarbonisation. Optimal utilisation of sustainable heat requires storing large
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. Performance assessment, Evaluate generated designs using key performance indicators such as energy efficiency, safety, cost, and emissions to identify optimal vessel configurations. Research Environment You
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. Performance assessment, Evaluate generated designs using key performance indicators such as energy efficiency, safety, cost, and emissions to identify optimal vessel configurations. Research Environment You
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in the field of hybrid dynamical systems, observer design, learning techniques, and optimization. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a
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to the timing of events and the results from performance optimization need to be included in the models. This PhD position will address these challenges by developing new timing-aware distributed supervisory
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engineering and biotechnology. A PhD position is available in the Advanced Production Engineering (APE) research group that deals with the development, optimization and implementation of advanced production
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first focus on hedging decisions with respect to the uncertainty on the battery model itself. To this end, you will explore concepts such as distributionally robust chance constrained optimization. Second
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those in a data- and compute-efficient manner to various problem settings. However, the perceptual possibilities are critically hindered by the language-focussed optimization of current foundation models