The doctoral researcher will work on the topic “Data-integrated training of surrogate models for uncertainty quantification and diagnostic evaluation of complex biological systems models”. The project will be embedded into SimTech’s project network PN2 “In silico models of coupled biological systems”, but will offer the opportunity to also collaborate within the University of Stuttgart, across German Universities and internationally on a wide range of possible application case studies (e.g. from the fields of hydrogeology, soil-plant modelling, or cognitive science).
The doctoral researcher will become a member of the Junior Research Group for Statistical Model-Data Integration of Dr. Anneli Guthke, and will be co-supervised by Dr. Paul-Christian Bürkner, Junior Research Group Leader for Bayesian Statistics (both groups located at SimTech).
Apply here
Deadline January 26, 2022