Dr. Serhiy Mochalskyy
Angestellt, Postdoctoral fellow, Max Planck Institut
Garching b. München, Deutschland
Werdegang
Berufserfahrung von Serhiy Mochalskyy
Bis heute 11 Jahre und 6 Monate, seit Jan. 2013
Postdoctoral fellow
Max Planck Institut
• Development of 3D parallel PIC code for charged particles dynamics in plasmas with external electric and magnetic fields. • Implementation of high order numerical algorithms for plasma physics applications. • Benchmarking own results with measurements and finite elements codes (Opera3D, Kobra3D). • Two scientific papers published as a main author. • Representation of the group work at the International Conference on Ion Sources 2013 in Tokyo, Japan.
• Development of 3D parallel code for the ion beam (140 MeV) simulation for the Linac4 accelerator. • Implementation of complex algorithms for simulations of the high density (1018m-3) plasmas. • Simulations benchmarking with the experimental data. • One scientific paper published as a main author. • Representation of the group work at the international conference NIBS 2012 in Finland.
4 Monate, Dez. 2011 - März 2012
Postdoctoral researcher
University Paris-Sud
• Development of the complex 3D numerical software for charged particles transport in the Neutral Beam Injector systems. • Development of integrated environment for codes representing different part of Neutral Beam Injector.. • One scientific paper published as a main author. • Representation of the group work at the international scientific conference ICIS 2011 in Italy.
Ausbildung von Serhiy Mochalskyy
3 Jahre und 2 Monate, Nov. 2008 - Dez. 2011
Computation Physics
Paris-Sud 11
Computation plasma physics. Modeling of the negative ion extraction from a hydrogen plasma source.
1 Jahr und 10 Monate, Sep. 2006 - Juni 2008
Computation Physics
Universität Stuttgart
Development of a software package for automatic real-time data analysis from the reflectometry diagnostic.
1 Jahr und 4 Monate, Sep. 2005 - Dez. 2006
Computer Science
Lviv Polytechnic National University
Software development for analysis of self-organization in multi-agent systems with testing calculation on graphs and game tasks
Sprachen
Englisch
Fließend
Deutsch
Gut
Russisch
Muttersprache
Französisch
Grundlagen