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Jan L. — Mid-Level Computational Physicist Data Scientist from South Africa

Jan L.

Mid-Level Computational Physicist Data Scientist

South Africa 1-2 years 3000 - 4000 USD per month
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Languages
EnglishAfrikaans
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About

Jan L. is a seasoned Research Scientist and Data Scientist with a deep background in computational physics, specifically focusing on heliophysics and statistical modeling. He has a strong track record in both academia and industry, adept at harnessing machine learning, scientific programming, and large-scale data processing to drive significant advancements. At North-West University's Centre for Space Research, Jan plays a pivotal role in developing software infrastructure for neutron monitor research, enhancing data acquisition and processing pipelines. His prior experience with the South African National Space Agency involved developing computational models for solar physics applications as well as scientific instrumentation research utilizing Arduino microcontrollers. Jan's educational foundation includes a PhD in Space Physics, where he focused on stochastic numerical modeling of cosmic ray transport. His work has been recognized through numerous peer-reviewed publications and presentations at international conferences, exemplifying his expertise in numerical modeling and advanced Fortran and Python programming.

Experience

  • Senior Subject Specialist | (Space) Physics

    Centre for Space Research, North-West University · 2026 — Present
    This role entails the development of software infrastructure for neutron monitor research, which includes data acquisition systems, processing pipelines, and high-level scientific analysis workflows - builing automated computational systems to facilitate the complete scientific data lifecycle, including instrument communication and subsequent analysis. A second priority of this role is the managment of a Raspberry Pi laboratory aimed at microcomputing, data acquisition, and physics education. The creation of a practical workbook for second-year physics students on experimental computing, instrumentation, and physical modeling will be a significant contribution to STEM education.
  • Postdoctoral Research Fellow | Solar Physics

    South African National Space Agency · 2022 — 2025
    Developed a mathematical and computational model to measure solar diameter utilizing GOES-16 lunar transit observations. Designed object-oriented Python software to enable scalable scientific analysis and modular research approaches. Conducted extensive preprocessing and cleaning of observational satellite datasets. Applied geometric and statistical modeling techniques to address problems in observational astrophysics. Programmed microcontroller systems based on Arduino for scientific instrumentation and experimental use. Engaged in ongoing research analyzing dynamical systems and permutation entropy from Parker Solar Probe magnetic field observations to explore turbulence and nonlinear dynamics in the inner heliosphere.
  • Private Tutor

    Private Tutoring · 2025 — Present
    Provide tutoring services for first-year university students in physics, mathematics, and Python programming. Develop structured approaches to simplify complex technical and theoretical concepts.
  • Postdoctoral Researcher | Heliospheric Physics

    Centre for Space Research, North-West University · 2020 — 2022
    Developed a statistical modeling framework applying permutation entropy analysis to Voyager spacecraft magnetic field observations beyond six astronomical units. Utilized advanced time-series analysis techniques to study turbulence and dynamical complexity within heliospheric magnetic fields. Created scientific analysis pipelines using Python. Conducted data wrangling, preprocessing, and computational analysis of large observational datasets. Authored peer-reviewed first-author research based on the project.
  • Data Scientist

    Data Science Consultant/Freelance · 2021 — 2022
    Constructed an XGBoost income prediction model leveraging PySpark on the Databricks platform. Executed machine learning workflows incorporating AutoML, MLflow, and Bayesian hyperparameter optimization using Hyperopt. Contributed to enhanced client financial profiling and decision-making processes. Aided in the development of improved credit scorecards utilizing Random Forests algorithms. Led web scraping projects employing Beautiful Soup and Selenium. Managed lead-generation campaigns based on AWS for clients in the telecommunications sector.
  • Demonstrator

    Centre for Space Research, North-West University · 2010 — 2019
    Assisted students in acquiring a practical understanding of mechanics, electronics, and experimental methods. Translated complex theoretical concepts into organized hands-on learning experiences.

Skills & Expertise

Education

  • PhD in Space Physics
    North-West University · — — 2020
  • M.Sc in Space Physics (with distinction)
    North-West University · — — 2015
  • B.Sc Hons in Physics
    North-West University · — — 2010
  • B.Sc, Physics + Mathematics & Applied Mathematics (cum laude)
    North-West University · — — 2009