Robin Hofe

Angestellt, Research Associate, University of Sheffield
Sheffield, United Kingdom

Fähigkeiten und Kenntnisse

Research Scientist
Research Engineer
Project Management
Signal Processing
Audio Engineering
Statistical Data Analysis
Speech Recognition
Speech Synthesis
Feasibility Testing
Creative Thinking
Analytical Problem-Solving
Team Player
Commercial Awareness
Self-motivated
Matlab
Linux
LaTex
Virtual Instruments
Data Flow Programming
Programming
C
Basic
Scripting

Werdegang

Berufserfahrung von Robin Hofe

  • Current 17 years and 1 month, since May 2009

    Research Associate

    University of Sheffield

    I have carried out feasibility studies and performance tests to evaluate the potential of a novel medical speaking aid. This requires extensive programming in Matlab, mainly in the areas of automatic speech recognition, speech synthesis and machine learning. The job also involved audio engineering, specifically speech recording. Other tasks: - organisation of meetings, - scientific and technical writing, - presentation of results at conferences.

  • 1 year and 7 months, Oct 2004 - Apr 2006

    Contractor / Data Analyst

    Space Research Institute Graz (Austria)

    Paid "Diplomarbeit" (MEng thesis). I was responsible for the analysis of data collected by the Huygens planetary probe during its descent through the atmosphere of Titan in January 2005. - Simulation of flight software in Matlab, - Analysis of compression algorithms used for channel coding, - Instrument calibration, - Analysis and interpretation of mission data (passive electric and acoustic field measurements), - Coordination of my work with a multinational team - Scientific Publication - PR events.

Ausbildung von Robin Hofe

  • 4 years and 9 months, May 2006 - Jan 2011

    Speech Technology

    The University of Sheffield

    Speech Technology, Human Speech Production, Biomimetic Robotics, Robot Design.

  • 7 years and 5 months, Sep 1998 - Jan 2006

    Electrical Engineering/Sound Engineering

    Graz University of Technology

    Digital Signal Processing, Statistical Data Analysis, Audio Engineering, Speech Technology.

Sprachen

  • English

    C1 (Fließend)

  • German

    C2 (Verhandlungssicher / Muttersprachlich)

  • French

    B1-B2 (Gute Kenntnisse)

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