Dr. David Steyrl

Angestellt, Postdoctoral Researcher, University of Vienna
Vienna, Austria

Fähigkeiten und Kenntnisse

Python
MatLab
Machine Learning
Statistical Analysis
Data Analysis
Signal processing
Simulink
Biosignalverarbeitung
Brain-Computer Interfaces
Neuroscience
Cognitive Science
Brain Research
Teaching
Neuroimaging
Multimodal Neuroimaging
simultaneous EEG-fMRI
Forschung
Statistik
Engineering

Werdegang

Berufserfahrung von David Steyrl

  • Current 7 years and 3 months, since Mar 2019

    Postdoctoral Researcher

    University of Vienna

  • 6 months, Sep 2018 - Feb 2019

    Consultant

    Tieto Austria GmbH
  • 6 years, Apr 2012 - Mar 2018

    Research and Teaching Assistant

    TU Graz

    Research in machine learning, time critical adaptive signal processing, and statistical data analysis; applications in neuroscience. Author of more than 25 journal and conference articles. Teacher in lectures, exercises, and seminars. Co-organizer of the 6th and 7th Graz BCI Conference; the largest conference on BCIs in Europe. Founder of the Graz BCI Racing Team, a student team for the Cybathlon; a competition for handicapped people supported by the assistance systems; organized by the ETH Zurich.

  • 9 months, Jan 2005 - Sep 2005

    Mechanical Engineer

    Global Hydro Energy GmbH

    Design and engineering of hydro power plants; preparation of blueprints, monitoring of the construction progress.

Ausbildung von David Steyrl

  • 6 years and 8 months, Apr 2012 - Nov 2018

    Computer Science

    Graz University of Technology

    Brain-Computer Interfaces, machine-learing with matlab, time critical signal processing, analysis of multimodal neuroimaging data, artifact reduction in simultaneous EEG-fMRI

  • 6 years and 6 months, Oct 2005 - Mar 2012

    Electrical Engineering (Biomedical Engineering)

    Graz University of Technology

    Classification (machine-learning) of brain tasks via EEG recordings

Sprachen

  • German

    C2 (Verhandlungssicher / Muttersprachlich)

  • English

    C1 (Fließend)

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