Martin Žonda

Martin Žonda is a Researcher at the Department of Condensed Matter Physics, Faculty of Mathematics and Physics, Charles University in Prague, holding this position since January 2021. His academic career includes postdoctoral fellowships at the University of Freiburg (2018-2020) and Charles University (2011-2017), alongside research at the Institute of Experimental Physics, Slovak Academy of Sciences (2010-2011).

His educational background comprises:

• Ph.D. in General and Mathematical Physics (2006-2010) from Pavel Jozef Šafárik University and the Institute of Experimental Physics, Slovak Academy of Sciences, dissertation: Theoretical study of spin and charge ordering in strongly correlated systems
• Master's (Mgr.) and Bachelor's (Bc.) in Physics (2001-2006) from Pavol Jozef Šafárik University, diploma thesis: Phase transitions in strongly correlated systems
• Secondary education in Geodesy, Cartography and Real Estate Cadastre (1997-2001) from Secondary Technical School, Spišská Nová Ves

Žonda's research specializes in condensed matter theory across scales from nanoscopic devices to crystalline materials, examining both equilibrium and non-equilibrium properties. He pioneers applications of machine learning in physics, reflected in his teaching of Machine Learning and Optimization in Physics (2022-present) and Machine Learning in Physics Seminars (2023-present) at Charles University, alongside Thermodynamics and Statistical Physics courses since 2021. His work bridges theoretical physics with computational innovation.

He actively supervises bachelor's and diploma theses at Charles University's Faculty of Mathematics and Physics and extends mentorship to the Faculty of Social Sciences, fostering interdisciplinary research at the physics-data science interface.