Internship: Advanced object characterisation engineer

GMV Insyen AG

Ramonville-Saint-Agne

Presencial

EUR 7.800 - 13.000

Tempo integral

Há 10 dias

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Resumo da vaga

GMV is seeking an internship for an Advanced Object Characterisation Engineer in the Space Surveillance and Tracking area, based in France. You will explore methods to characterize objects using SST data, focusing on attitude estimation, RCS-based attitude inference, or optical image analysis of known shapes.

You will perform bibliographic analysis, design methods, implement software, run simulations, and document results while collaborating with a research‑miented team.

Qualificações

  • Applied mathematics and physics background.
  • Object-oriented software development using Python.
  • Knowledge of parallel algorithm analysis and development is a plus.

Responsabilidades

  • Bibliographic analysis.
  • Methods definition and design.
  • Software implementation of the selected methods.
  • Execution of simulations (validation, analysis of results, post-treatment).
  • Technical note writing.

Conhecimentos

Applied mathematics
Physics
Python programming
Object-oriented design

Formação

Engineering student
Math/Physics background

Ferramentas

Python
Parallel algorithm analysis

Descrição da vaga

Internship: Advanced object characterisation engineer

All of us want to be Batman... but we know he wouldn'tgetfar without Robin. If you want to start your careerbeing thesidekick of an elite team, Your place is here!

Our teams in the Spacesurveillance and Tracking sector are looking for interns to start their careerdevelopment with us, participating in Space Domain Awareness (SDA) and spacedebris mitigation activities.

We´ll get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV website

WHAT CHALLENGE WILL YOU BE TAKING ON?

Inthe frame of this internship, the goal will be to investigate and develop advanced methods for object characterisation using SST sensor data, with an empahsis on either :

  • developing attitude estimation method using laser observations from large non-cooperative(not equipped with retroreflectors) targets
  • estimating of the attitude from radar cross section (RCS) measurements by relating thesignal variations to the object’s orientation and geometry
  • exploitingoptical images of an object of known shape, by the analysis of its projectedoutline and visible surfaces
The differentactivities that can be envisaged are:
  • Bibliographic analysis.
  • Methods definition and design.
  • Software implementation of theselected methods.
  • Execution of simulations(validation, analysis of results, post-treatment...).
  • Technical note writing.
WHAT DO WE NEED IN OUR TEAM?

We're looking for anengineer/mathematics/physics student (or equivalent) with curiosity in researchactivities, a taste for the scientific method (conscientious and methodical)and with object-oriented SW development skills.

  • Applied mathematics and physics
  • Object-oriented SW development – Python
  • We will also value knowledge in Parallelalgorithm analysis and development
WHAT DO WE OFFER?
  • Totalflexibility to be able to combine the internship with your studies. Yourgraduation is important!
  • Realpossibilities to continue with us once the internship is over, making iteasier for you to develop your professional career.
  • You will have free days to enjoy. You also deserve a break!
  • Highfinancial assistancefor your studies.
  • You will findfree fruit and coffeeat your disposal in our canteen, and youcanjoin yourteam activities and sports competitions(leave the \"with us\" away)

In our recruitment processes youwill always have telephone and personal contact, face-to-face or online, withour talent acquisition team. In addition, bank transfers and bank cards willnever be requested. If you are contactedthrough any other process, please write to our team at privacy@gmv.com

We promote equal opportunities in recruitment, and we are committedto inclusion and diversity.

Obtenha sua revisão de currículo grátis e confidencial.

ou arraste e solte seu arquivo aqui.

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