Marijan Beg

Teaching Fellow in Computational Data Science at Imperial College London
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, GB
Languages
  • Serbo-Croatian Native or bilingual proficiency
  • English Professional working proficiency
  • German Limited working proficiency

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Experience

    • Research Services
    • 700 & Above Employee
    • Teaching Fellow in Computational Data Science
      • May 2021 - Present

      - Teaching and supervision of students in MSc Applied Computational Science and Engineering and MSc Environmental Data Science and Machine Learning postgraduate courses. - Teaching and supervision of students in MSc Applied Computational Science and Engineering and MSc Environmental Data Science and Machine Learning postgraduate courses.

    • United Kingdom
    • Higher Education
    • 700 & Above Employee
    • Visiting Fellow
      • May 2021 - Present

      - Supporting research, software development, training, and supervision of PhD students in the EPSRC Programme Grant on Skyrmionics

    • Senior Research Fellow
      • Oct 2019 - May 2021

      - EPSRC Programme Grant on Skyrmionics- Computational study of magnetic skyrmions and Bloch points- Development of finite-element, finite-difference, and Monte Carlo computational magnetism packages- Teaching “Computational Engineering and Design” computer-lab sessions- Supervision of PhD students and undergraduate student projects- Delivering computational magnetism, data analysis, and reproducibility workshops to researchers

    • Visiting Fellow
      • Sep 2017 - Oct 2019

      - Supporting research, software development, training, and supervision of PhD students in the EPSRC Programme Grant on Skyrmionics

    • Research Fellow
      • Apr 2016 - Aug 2017

      - OpenDreamKit Horizon 2020 European Research Infrastructure Project- Computational study of static and dynamics properties of magnetic skyrmions and Bloch points- Implementation of the Python interface for micromagnetic packages OOMMF and mumax3 and its integration into Jupyter- Supervision of individual student projects- Delivering computational magnetism, Python, and Jupyter workshops to researchers

    • Germany
    • Research Services
    • 200 - 300 Employee
    • Computational Scientist
      • Sep 2017 - Aug 2019

      - OpenDreamKit Horizon 2020 European Research Infrastructure Project- Exploration of static and dynamic properties of Bloch points and magnetic skyrmions- Development of the computational magnetism domain-specific language, data analysis, and visualisation tools – Ubermag Virtual Research Environment- Data processing and analysis for Spectroscopy and Coherent Scattering experiments- Teaching “Computational Science and Data Science” computer-lab sessions at the University of Hamburg, Germany

Education

  • University of Southampton
    Doctor of Philosophy - PhD, Complex Systems Simulation
    2011 - 2016
  • University of Southampton
    MSc, Nanoelectronics and Nanotechnology
    2010 - 2011
  • Faculty of Technical Sciences, University of Novi Sad
    dipl. ing. - BSc (Hons), Electrical and Computer Engineering
    2006 - 2010

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