Advancing control theory to stimulate brain network changes induced by external perturbations - a step towards Digital Twins Computational Neurology

Description

We invite applications for a master's thesis for contributing to advance control theory to brain networks to simulate treatment effects (e.g., medication or neurostimulation). The project has a strong methodological focus and touches topics of neural data analysis and optimization. The project will be executed in collaboration with engineers from the University of Stuttgart, offering opportunities for interdisciplinary collaboration.

Following tasks will be performed:
•    Development of model extensions of control theory
•    Analyses of models’ parameters and properties
•    Implementation of models in established and reputable state-of-the art toolboxes for parameter estimation and statistical inference

Prerequisites: Programming expertise expected, preferably completed courses on computational neuroscience or on bioinformatics, preference will be given to students with a computational or mathematical background

If you plan to apply, please submit a short statement of motivation (why my group, why this topic) and your CV with a transcript of study records to "mail at computationalneurology.com"

The Institut für Neuroinformatik (INI) is a research unit of the Faculties of Computer Science and Medicine at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210