Summary
Jørgen Høgberget is a PhD research scholar in computational physics with 14 years of experience applying modern, optimized computational tools to challenging multi-scale, non-equilibrium problems such as crystal growth in nano-confined, high-pressure environments. He combines deep expertise in programming, numerical methods and statistical mechanics to translate inter-atomic potentials into realistic, microscope-visible phenomena. His background includes teaching and developing Cython/C++/Python examples for computational physics courses and evaluating open-source CFD tools like openFOAM for advanced education. Based in Oslo, he is driven by mathematical problem solving and a curiosity for implementing state-of-the-art methods that bridge theory and observable experiments.
14 years of coding experience
Master of Science (M.Sc.), Computational Physics, Master of Science (M.Sc.), Computational Physics at Universitetet i Oslo (UiO)
English, German, Norwegian