Motivation and Goals of this Position
Economic and safe production of drop in chemicals, enzymes and recombinant proteins using bioprocesses need strategies for more efficient experimental design, as well as monitoring and advanced multiparametric control strategies. We strongly believe that hybrid models, mixtures of mechanistic and data driven models, in its interaction with digitalization and Industry 4.0 solutions can be used as powerful methods for model based experimental design and control of bioprocesses.
Within this context, we are looking for a motivated PhD student for innovative process solutions! The work will be mainly focused on i) Mechanistic and hybrid modelling, (ii) experimental design, iii) continuous bioprocessing, and (iv) model based monitoring and control approaches.