Josef Kaufmann

Data Scientist

Vienna, Austria
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Summary

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Senior
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Top School
Josef Kaufmann is a research engineer and software developer based in Vienna with eight years of experience bridging theoretical and computational physics with production software. With a PhD focus in theoretical and mathematical physics from TU Wien, he has applied advanced computational methods for strongly correlated electrons across academia and industry—from project roles at TU Wien and Leibniz Institute to software development at SEA.AI and current research engineering in nanofabrication. He combines deep numerical modelling and algorithmic insight with practical engineering, shipping research-grade code that informs experiments and scalable tools. Notably, his profile blends rigorous PhD training with hands-on applied engineering work, making him adept at translating complex physical theories into maintainable software for real-world research and product environments.
code8 years of coding experience
job7 years of employment as a software developer
bookVienna University of Technology
bookMatura, Neusprachliches Gymnasium, Matura, Neusprachliches Gymnasium at BG/BORG St. Johann in Tirol
bookEngineering Physics/Applied Physics, Engineering Physics/Applied Physics at Tomsk Polytechnic University
languagesGerman, English, Russian, French, Ukrainian
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Stackoverflow

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1reputation
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0questions
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Github Skills (4)

continuation10
statistics9
python9
monte-carlo8

Programming languages (1)

Fortran

Github contributions (3)

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josefkaufmann/hackathon

Feb 2026 - Feb 2026

Contributions:7 pushes in 1 day
w2dynamics/w2dynamics

May 2020 - Feb 2021

A continuous-time hybridization-expansion Monte Carlo code for calculating n-particle Green's functions of the Anderson impurity model and within dynamical mean-field theory.
Contributions:1 review, 1 comment in 9 months
monte-carlopythonmonte-carlo-simulationquantum-monte-carlo
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