Dániel Németh-Postdoctoral Researcher - Theoretical and Computational Physics
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Experience
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.
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.
Industry experience
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Experienced in Education.
Business area experience
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Experienced in Research and Development and Information Technology.
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
Education
Jagiellonian University
PhD in Theoretical and Computational Physics · Theoretical and Computational Physics · Kraków, Poland
Eötvös Loránd University
MSc in Physics, Astronomy module · Physics, Astronomy module · Budapest, Hungary
Eötvös Loránd University
BSc in Physics, Theoretical module · Physics, Theoretical module · Budapest, Hungary
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Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Dániel is based in Vienna, Austria and can operate in on-site, hybrid, and remote work models.
Dániel speaks the following languages: Hungarian (Native), English (Advanced), German (Intermediate), Polish (Elementary).
Dániel has at least 8 years of experience. During this time, Dániel has worked in at least 2 different roles and for 2 different companies. The average length of individual experience is 4 years. Note that Dániel may not have shared all experience and actually has more experience.
Based on recent experience, Dániel would be well-suited for roles such as: Postdoctoral Researcher - Theoretical and Computational Physics, PhD Researcher - Theoretical Physics.
Dániel's most recent position is Postdoctoral Researcher - Theoretical and Computational Physics at Radboud University.
In recent years, Dániel has worked for Radboud University and Jagiellonian University.
Dániel is most experienced in industries like Education.
Dániel is most experienced in business areas like Research and Development and Information Technology.
Dániel has recently worked in industries like Education.
Dániel has recently worked in business areas like Research and Development and Information Technology.
Dániel holds a Doctorate in Theoretical and Computational Physics from Jagiellonian University, a Master in Physics, Astronomy module from Eötvös Loránd University and a Bachelor in Physics, Theoretical module from Eötvös Loránd University.
The availability of Dániel needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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