Resume

Basics

Name Philippe Marchner
Label Postdoctoral Researcher
Email philippe.marchner@univ-grenoble-alpes.fr
Citizenship French, Swedish

Work

  • 2024 - Present
    Postdoctoral researcher
    Université Grenoble Alpes
    Uncertainty quantification for full waveform inversion
  • 2022 - 2024
    Research Engineer
    Siemens Digital Industry Software
    Investigation and development of numerical methods for time-harmonic wave problems
    • Simcenter StarCCM+, high-order finite elements
    • domain decomposition, multi-physics coupling
  • 2018.03 - 2018.08
    Trainee
    European Space and Technology Center - ESA ESTEC
    Noise reduction in metamaterial structures: application to the Vega launch pad
    • resolution of Helmholtz problems in periodic media
  • 2017.03 - 2017.09
    Research intern
    Onera and Matelys
    Acoustic nonlinear behavior of micro-perforated plates using Lattice Boltzmann Method
    • sound propagation in porous media, Lattice Boltzmann simulation and experimental measurements

Education

  • 2019 - 2022
    Doctorate degree
    University of Lorraine & University of Liège, France & Belgium
    Applied Mathematics
    Industrial PhD contract (CIFRE) funded by Siemens Digital Industry Software and Association Nationale de la Recherche et de la Technologie (ANRT)
    • topic: Non-reflecting boundary conditions and domain decomposition methods for industrial flow acoustics
    • joint development of GmshDDM, a parallel domain decomposition library
  • 2017 - 2018
    Master's degree
    ENSTA, Institut Polytechnique de Paris, Palaiseau, France
    Applied Mathematics
    One year applied mathematics specialization
    • uncertainty quantification, optimization, integral equations, multi-scale modeling, functional analysis, parallel computing
  • 2014 - 2017
    Master's degree
    University de Technologie de Compiègne, Compiègne, France
    Mechanical Engineering
    French Engineering degree (MSc) with a specialization in acoustics and vibrations. Exchange semester at Technische Universität Berlin, Germany
    • fundamentals of acoustics, signal processing, fluid & gas mechanics, linear and nonlinear vibrations, numerical methods

Skills

Programming
C++, Python, MPI, Matlab
Open source software
Gmsh, Paraview, FEniCS, Bempp, MUMPS, PETSc
Computer tools
git, Jupyter, Latex, slurm
Commercial software
StarCCM+, ProLB

Languages

French
Native speaker
Swedish
Fluent
English
Working proficiency
German
Good knowledge
Spanish
Conversational

Interests

Sports
Cyclotourism, climbing, hiking
Travels
Several leisure in south america (2018, 2019, 2022)

Awards