Description of the research topic:
In many fields of science, it is necessary to develop models, high-efficiency algorithms that allow for the accurate evaluation of measurement results and theoretical calculations on a grid. Such interdisciplinary research is carried out in statistical physics flow geometry models to solve the grid theory problems of high energy particle physics.
A large group of nonlinear phenomena includes the chaos, the dynamical systems are described by this quantity applying the concept of entropy or the Ljapunov exponent.
We are looking for the development of numerical solutions, models, methods, discretized on a grid, with suitable extrapolation to obtain the grid-independent limit.
The task of the candidate is to work out models and elaboration of algorithms that allow to describe the nonlinear phenomena, which can be used primarily in statistical physics and / or computing in the field of particle physics.
Thesis supervisor: Dr. Fülöp Ágnes
How to Apply?
If you are interested apply here: [PhD] Doctoral School of Informatics – Eötvös Loránd University (elte.hu)
For more information visite the following website: Doctoral School of Informatics (elte.hu)
Funded: Not Funded
Master Degree: Required
Duration: 4 Years
Full/Part Time: Full Time
Starting Date: 06 September 2021
Deadline to Apply: 31 May 2021
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Fields of Science: