Rebecca Zahn

Rebecca zahn

bookmark on deepenrich
location of Rebecca ZahnGarching bei München, Bayern, Deutschland
Followers of Rebecca Zahn229 followers
  • Timeline

  • About me

    Machine Learning and Aerodynamics Engineer

  • Education

    • Technische universität münchen

      -
      Master of science - ms luft-und raumfahrttechnik
    • Technische universität münchen

      -
      Bachelor of science - basc mechanical engineering
  • Experience

    • Linde

      Jul 2011 - Sept 2011
      Internship

      Production of inert gases: • Implementation of mechanical manufacturing processes • Supportive cooperation in production

    • Linde

      Jun 2012 - Aug 2012
      Working student

      Production of inert gases: • Laboratory work and analysis • Evaluation and validation of test results • Monitoring of production processes and facilities

    • Linde

      Jan 2013 - Jan 2013
      Working student

      Production of inert gases: • Independent planning and implementation of laboratory analysis • Development and evaluation of laboratory data• Implementation of further methods for analysis

    • Airbus

      Jan 2015 - Jan 2015
      Internship

      Cabin Innovation/Market Insights:- Analysis and implementation of data using Excel and PowerPoint- Development of market analysis and simulations for future cabin layouts

    • Bauhaus luftfahrt

      Jul 2017 - Jan 2017
      Working student

      Economics and Transportation: - Development of a system-dynamic model of the European air transport system using AnyLogic - Independent expansion of the system-dynamic model by using an agent-based modeling approach- Validation of data using Matlab and Excel

    • Bauhaus luftfahrt

      Apr 2018 - Jan 2019

      Aerodynamic design space exploration of a propulsive fuselage concept (PFC) using computational fluid dynamics - Definition of the fuselage and engine geometry using Python - Implementation of the engine in the solver with a C++ code- Simulation of different propulsive fuselage geometries in OpenFoam - Complex design space exploration and optimization based on a surrogate model build in Python Visionary Aircraft Concepts - Development and validation of compressible flow simulations of different wing profiles using OpenFOAM- Automation of the CFD simulations using Python- Kinematic simulation of an innovative engine concept using Catia V5 - Validation of a simplified performance prediction method for boundary layer ingestion aircraft concepts using Matlab

      • Master`s Degree Candidate

        Nov 2018 - Jan 2019
      • Working Student

        Apr 2018 - Jan 2018
    • Technische universität münchen

      Aug 2019 - Jan 2022
      Phd candidate at the institute of aerodynamics and fluid mechanics

      Research fields: - Application of deep learning approaches for the load analysis at transonic buffet condition for real aircraft configurations- Data analysis based on experimental and numerical data

    • Airbus defence and space

      Nov 2022 - now
      Machine learning and aerodynamics engineer
  • Licenses & Certifications

    • Nanodegree program: deep learning

      Udacity
      Aug 2021