Dániel N.

Postdoctoral Researcher - Theoretical and Computational Physics

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Vienna, Austria

Experience

Jan 2022 - Dec 2025
4 years
Nijmegen, Netherlands

Postdoctoral Researcher - Theoretical and Computational Physics

Radboud University

  • Built and maintained C and C++ simulation engines with Python analysis for studies of 4D random geometries on shared HPC systems.
  • Developed modular Python pipelines with clear interfaces and caching for large datasets to improve analysis throughput and reuse.
  • Automated SLURM and PBS batch workflows for submission, monitoring, environment capture, and artifact packaging to ensure reproducibility.
  • Refactored utilities into tested, documented packages to lower maintenance effort and support collaboration.
  • Supervised BSc students and organized seminars.
  • Published several peer-reviewed papers.
Jan 2018 - Dec 2022
5 years
Kraków, Poland

PhD Researcher - Theoretical Physics

Jagiellonian University

  • Implemented Monte Carlo engines in C and C++ for simplicial lattice quantum gravity with Python diagnostics and Mathematica visualization.
  • Wrote tools for parameter sweeps, logging, checkpointing, and resume for long runs across clusters.
  • Added sanity checks, invariants, and regression tests for earlier detection of numerical issues and safer datasets.
  • Co-authored 10+ peer-reviewed publications and presented results at international conferences.

Summary

Computational physicist with 7+ years in large scale numerical simulations, data analysis, and scientific software. Strong in C and C++, Python, and reproducible HPC workflows. Experienced with Monte Carlo methods, random geometries, and geometric observables. Open to industry R&D and data driven engineering roles.

Skills

  • Programming: C And C++, Python, Bash, Git, Cmake, R
  • Machine Learning: Pytorch, Tensorflow, Keras, Xgboost, Scikit-learn, Graph And Simplicial Neural Networks
  • Computing: Hpc Clusters (Pbs, Slurm), Parallel And Batch Workflows, Profiling, Numerical Optimization
  • Practices: Unit And Regression Tests, Code Review, Continuous Integration, Documentation
  • Monte Carlo Simulation Framework: Modular C And C++ Engines For Large Scale Monte Carlo On Hpc Clusters Using Link-cut Trees For Dynamic Connectivity, Pluggable Field Modules, And Robust I/o
  • Data Analysis Toolkit: Python Command Line Tools For Descriptive Statistics, Sanity Checks, Function Fitting, And Plots With Stable Defaults And Documented Flags; Supports Csv, Numpy, Pickle, And Hdf5 Formats With Export To Pdf And Png
  • Spectral Analysis Toolkit: Parsers And Adapters That Extract Incidence Matrices And K-simplicial Laplacians From Run Outputs, Building Sparse Multi-dimensional Operators And Supporting Batch Mode With Numpy, Scipy Sparse, And Hdf5 Formats
  • Mathematica Visualization Framework: Notebooks And Functions For 2d And 3d Geometry Including Mesh Rendering, Parametric And Surface Plots, Interactive Controls, And Batch Export To Pdf And Png
  • Hpc Workflow Utilities: Bash Templates For Job Submission On Different Hpc Setups, Monitoring, Environment Capture, And Artifact Packaging For Reproducible And Transferable Workflows

Languages

Hungarian
Native
English
Advanced
German
Intermediate
Polish
Elementary

Education

Oct 2018 - Jun 2022

Jagiellonian University

PhD in Theoretical and Computational Physics · Theoretical and Computational Physics · Kraków, Poland

Oct 2016 - Jun 2018

Eötvös Loránd University

MSc in Physics, Astronomy module · Physics, Astronomy module · Budapest, Hungary

Oct 2012 - Jun 2016

Eötvös Loránd University

BSc in Physics, Theoretical module · Physics, Theoretical module · Budapest, Hungary

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