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Moritz Schauer is a Senior Lecturer in the Department of Applied Mathematics and Statistics at Chalmers University. His research focuses on statistical theory and methodology, dynamical stochastic models, and stochastic differential equations. He investigates the evolution of processes in systems with dynamics, exploring temporal and spatial interactions that demonstrate stochastic behavior. Schauer applies these models to various fields, including the modeling of changes in the West Antarctic ice shelf, neuron interactions in the brain, and the deformation of tissue in tumor growth. He is particularly interested in statistical inference for nonlinear stochastic differential equations under indirect observation, utilizing Bayesian approaches for inference. His work involves developing inference procedures for these models with provably good statistical properties, leveraging modern probability theory and stochastic calculus. Additionally, he focuses on the computational implementation of these methods using advanced Markov Chain Monte Carlo techniques.
General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.