Doctoral Researcher – Digital twins for neuromodulation, Full time research position starting as soon as possible, remuneration according to TV-L E13 Bavaria regulations

Project Description: Neuromodulation technologies have made dramatic advances in the last few decades, relieving a plethora of disorders. However, the definition of clinically meaningful neurostimulation strategies is challenging due to the growing number of clinical applications, the increasing complexity of the corresponding technologies and vast inter-subject variability of physiological parameters in humans. Digital twins are natural candidates to optimize and personalize neurotechnologies for clinical use. In this project the successful candidate is asked to develop a framework for the rapid elaboration of personalizable computational models of the nervous system. The successful student will be asked to develop and integrate image-based reconstruction technologies to automatically generate digital twins of individual subjects. The successful student will consolidate mathematical models of neural substrates and multi-physics modeling into this framework to test, enhance and personalize the efficacy of existing neuromodulation technologies and explore novel applications.