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Oferta verificada hace 19 horas

2026-2027 INTERNSHIP Artificial Inteligence

Airbus·Madrid
Salario no indicado
Resumen Vox
  • Rol del pasante: Participar en un programa de formación y realizar una pasantía de 11 meses en Airbus en un área relacionada con la ingeniería aeroespacial.
  • Requisitos clave: Titulación en Ingeniería Aeroespacial, habilidades en análisis de estructuras, programación (C++/Fortran/Python), y dominio de inglés y español.
  • Condiciones y beneficios: Experiencia a tiempo completo (40h/semana), beca de estudio atractiva, inicio en octubre 2026, y oportunidad de desarrollo profesional en un entorno internacional.
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Descripción de la oferta

Job Description Ready to join one of our Graduate Programs in Spain AIRBUS offer more than 70 vacancies for our full time graduate program in Spain - #Discover II 2026/2027 - Starting date 5th October 2026 until 1st October. We are looking for recent graduates from different disciplines interested in developing their professional career in the aeronautical sector. The current context demands different ways of looking thinking and relating. The selection process will be during April 2026 until July 2026. What does this internship consists in Together with Camilo José Cela University Airbus has developed an exclusive program (Discover) designed for those interested in the best training in new areas of knowledge essential to be able to develop as professionals of the future. You will have the opportunity to study a Master organized in three training blocks that will allow you to Discover the skills most in demand today. It will be combined with an 11 month internship at Airbus in an area related to your degree where you can learn and complete your academic background. The start of the internship will be in early October 2026 and will last 11 months (August disabled for all purposes). It is a full-time experience (40h/week) in which you will receive an attractive study grant. Internship Job Description The design of aerospace structures is a complex and multidisciplinary process integrating various fields of expertise such as mechanical engineering materials aerodynamics and manufacturing systems. One of the fundamentals of this process is ensuring structural integrity under all operating conditions and possible scenarios. In this context structural analysis faces multiple sources of uncertainty including geometric and dimensional tolerances material properties and loading conditions. To overcome these limitations the use of machine learning models is proposed to efficiently analyze and predict reserve factors (RF). The method will enable precise analyses with a reasonable computational cost while consistently meeting the high safety standards required by the EASA (European Union Aviation Safety Agency) certification. Required skills #AirbusDiversity As a successful candidate you will be able to demonstrate the following skills and experience - Educated to degree level (or equivalent) in Aerospace Engineering - Structural composite stress analysis - Mathematical mindset - Analytical and problem-solving skills - Programming languages (C++/Fortran/Python) - Final Element modelling techniques (Abaqus Nastran Hypermesh) - Language Skills Negotiation level of English Spanish - Analytical and problem-solving skills. - Team spirit and great collaboration skills. - Ability to work in complex and international environments. Not a 100 match No worries Airbus supports your personal growth with customized development solutions. Why should you apply - Foster your professional development with a strong academic background and an in-depth collaboration in AIRBUS projects. - Expand your network within the aeronautical industry. - Meet our people working with passion and determination to make the world a more connected safer and smarter place. - Be part of our diversity and teamwork culture that propel us to accomplish the extraordinary - on the ground in the sky and in space. Are you interested Apply and make it fly #GraduatesSpain #DISCOVER This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

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Fuente original
tecnoempleo
Publicada
29 jun 2026 · fecha real
Última verificación
hace 19 horas
Puntuación de calidad
35/100
Salario indicado0
Empresa identificada0
applyUrl0
postedAt15
Descripción completa20

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