Internship: Advanced object characterisation engineer

GMV Spain; Toulouse; Hybrid; EUR 7,300 - 10,000; Part time

Benefits offered by this job

Flexible internship

Potential extension to full-time

Living allowance support

Free fruit and coffee

Team activities and sports

Job summary

GMV invites an engineering/science student to join our Space Surveillance and Tracking team in Toulouse for an internship focused on advanced object characterisation using SST data. You will explore attitude estimation from laser observations, attitude derivation from RCS measurements, and analysis of optical images for known shapes.

The program includes bibliographic analysis, methods design, software implementation, simulations, and technical notes, with flexible scheduling to fit studies and

Qualifications

• Applied mathematics and physics
• Object-oriented SW development – Python
• Knowledge in parallel algorithm analysis and development valued

Responsibilities

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

Skills

Applied mathematics

Physics

Object-oriented SW development

Curiosity in research

Education

Student in Engineering/Mathematics/Physics

Tools

Python

Parallel algorithm analysis

Job description

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 [e-mail]

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