Péter Juhász

Péter Juhász

PhD Candidate

Aarhus University

Péter Juhász

I am a PhD Researcher in Mathematics at Aarhus University, supervised by Christian Hirsch. My research consists of stochastic modeling of high-dimensional random systems supported by large-scale C++/Python simulations. Previously, I worked at Bosch as a deep learning researcher and software architect in automated driving, focusing on perception, prediction, decision-making, and scalable system design.

Interests
  • Stochastic Modeling
  • Complex Network Models
  • Algorithm design
Education
  • PhD in Mathematics, 2022 - 2025

    Aarhus University

  • MBA in Finance, 2019 - 2021

    Budapest University of Technology and Economics

  • MSc in Physics, 2013 - 2016

    Budapest University of Technology and Economics

  • BSc in Physics, 2010 - 2013

    Budapest University of Technology and Economics

Skills

Programming
Python
C++
Git
SQL
Languages
Hungarian
English
German

Professional Experience

 
 
 
 
 
Aarhus University
PhD Researcher in Probability
November 2022 – Present Aarhus, Denmark
  • Developed and analyzed stochastic models for complex, high-dimensional systems, with applications to interacting stochastic systems.
  • Designed efficient C++ and Python algorithms for large-scale stochastic network models.
  • Proved theoretical results in stochastic point processes and random graphs, contributing to the mathematical foundations of probabilistic modeling.
  • Taught advanced probability, data analysis, and differential equations to mathematics and data-science students.
 
 
 
 
 
Bosch Group Hungary
Deep Learning Researcher & Software Architect in Automated Driving
May 2018 – October 2022 Budapest, Hungary
  • Patented a stochastic trajectory prediction model improving accuracy by 3× and uncertainty estimation by 10× over baseline.
  • Led a team of 11 developing environment prediction modules for automated driving as a technical lead.
  • Created a framework for automated ground-truth generation enabling large-scale data-driven model evaluation.
 
 
 
 
 
Ericsson Telecommunications Hungary
Software Engineer for Mobile Networks
March 2016 – May 2018 Budapest, Hungary
  • Designed response time-based load-balancing algorithms for distributed systems, improving efficiency though quantitative optimization.
  • Coordinated a team of 8 as a deputy of the product owner

Publications

Awards, Grants

European Mathematical Society
Individual Travel Grant for Presenting a Talk at GPSD 2025
500 EUR Random Connection Hypergraphs
Aarhus University
Academic Mobility Grant for International Exchange
20 000 DKK Evolving Stochastic Network Models
Danish Data Science Academy
PhD Fellowship Grant – DDSA-PhD-2022-008
1 890 000 DKK Topological Data Analysis Based Models of Evolving Higher-Order Networks
Hungarian National Bank
Excellence Award for Outstanding Thesis and Diploma Work
350 000 HUF Digitalization, Artificial Intelligence, and the Age of Data – What Makes a Meme Viral?

Additional Qualifications

(2021). Certified Software Designer. – Bosch Group.

Certificate

(2021). Certified Professional for Software Architecture. – International Software Architecture Qualification Board.

Certificate

Contact

  • peter@ljuhasz.com
  • 118 Ny Munkegade, Aarhus C, Central Jutland 8000
  • Office 315, Floor 3, Building 1535