Visual Navigation Algorithms Intern

GMV

Tres Cantos

Presencial

EUR 6700 - 10.000

A tiempo parcial

hace 44 horas
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Ventajas ofrecidas por este puesto de trabajo

Flexible schedule
Future opportunities
Free days

Descripción de la vacante

GMV in Madrid is offering an internship in Visual algorithms optimisation within the Defence and Security sector, focusing on navigation, guidance and positioning.

You will study and develop map-correlation algorithms for visual navigation, aiming to improve robustness under various camera orientations and geometric distortions in operational scenarios. Ideal candidates are Bachelor’s or Master’s students in STEM fields with a strong interest in computer vision and Python and/or C++.

Formación

  • Bachelor’s or Master’s degree students in STEM fields with interest in visual navigation, computer vision and algorithm development.
  • Knowledge of image processing, linear algebra, projective geometry and statistics.
  • Experience or interest in programming with Python and/or C++.

Responsabilidades

  • Study and develop alternative map-correlation algorithms for visual navigation, aiming to improve robustness under different camera orientations and distortions.
  • Work on the study of map-correlation and image-to-map registration techniques, developing and evaluating matching algorithms using simulated and real flight data.

Conocimientos

Image processing
Linear algebra
Projective geometry
Statistics
Python
C++

Educación

Bachelor’s or Master’s degree students in Aerospace Engineering, Robotics, Telecommunications, Computer Science, Physics, Mathematics or related fields

Herramientas

Python
C++

Descripción del empleo

GMV in Madrid is offering an internship in Visual algorithms optimisation within the Defence and Security sector, focusing on navigation, guidance and positioning.

You will study and develop map-correlation algorithms for visual navigation, aiming to improve robustness under various camera orientations and geometric distortions in operational scenarios. Ideal candidates are Bachelor’s or Master’s students in STEM fields with a strong interest in computer vision and Python and/or C++.

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