Computational Materials Science (CMS) at TU Bergakademie Freiberg

About

The ever accelerating technological progress of today's society requires engineers and scientists that are perfectly equipped with thorough knowledge of natural and materials sciences and who are highly skilled in programming and simulations techniques as well as in data handling and data analysis. These "Computational Materials Scientists" will become key players in industrial R&D efforts; they will shape scientific and engineering research focusing on the design, processing and application of novel high-tech materials with superior mechanical, thermodynamic, and electronic properties. At TU Bergakademie Freiberg, we bring together renowned researchers and enthusiastic lecturers from different scientific communities to offer our graduate students the education required for an outstanding career in computational materials science (CMS). Theoretical concepts introduced during CMS lectures will be illustrated by cutting-edge research applications. An intense introduction seminar will bring you up to speed with scientific programming and modern computing environments.Â During research seminars, you will have the possibility to interact with leading scientists and experienced engineers from industrial partners. During accompanying hands-on tutorials, the application of all relevant state-of-the art simulation methods will be learned â€“ which is only one of the truly outstanding aspects of this course. Elective classes will introduce you to specialised topics of computational engineering/mechanics â€“ or even to advanced subjects of data mining and machine learning in data-driven materials science. Among others, you will learn the theoretical background and hands-on application of the following numerical/simulation methods: linear/non-linear finite element methods (FEM) molecular statics and molecular dynamics (MS/MD) Monte-Carlo Methods (MC) discrete dislocation dynamics (DDD) cellular automaton (CA) phase field method (PFM) statistical analysis methods (classical, neural networks,...) digital image analysis/correlation CMS students are chosen among the top 3% of their undergraduate classes, ensuring an intense study environment of excellence. Small classes foster interaction and discussions, allowing you to develop your own ideas.

Requirements

Entry Requirements

A Typical Candidate Profile A typical CMS student is interested in materials, simulations and programming and is curious to know how things work. A distinctive feature of this student is that she/he would like to know how computer simulations and data analysis can be used to predict the behaviour of specimens, devices, or maybe even of yet non-existent "virtual materials" with superior properties. Minimum Conditions for Admission to CMS Bachelor's degree or an equivalent degree in the field of Mechanical Engineering, Materials Science, Nanotechnology, Aerospace engineering, (Solid State) Physics, Computational engineering or other comparable studies. Grade Point Average (GPA) of at least 75% (this is equivalent to a German grade of 2.0, or 3.0 points of 4.0 max. points in the United States grading system) English certificate (see below) German certificate (see below)