Create realistic neural mass models using Bayesian parameter optimization Computational Neurology


We invite applications for a master's thesis for contributing to developing models of personalized transcranial magnetic stimulation (TMS) in neurodegenerative diseases (e.g., Alzheimer’s Disease). The project touches topics of probabilistic modelling, data analysis and optimization.

Following tasks will be performed:
•    Improvement of preliminary mathematical models
•    Development of model extensions
•    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: Python programming, completed courses on computational neuroscience or on bioinformatics

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through 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 approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

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

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