Job Description: MASI - Master in Aircraft System Integration 2026/2027 MASI is an internship programme offered by Airbus Spain, designed to develop professional skills through a combination of practical training at Airbus and complementary academic instruction. Our programme takes
Graduate Program Overview Airbus offers more than 70 vacancies for our full‑time Graduate Program in Spain – #Discover II 2026/2027 – starting on 5th October 2026 until 1st October. ¿Le interesa este puesto? Puede encontrar toda la
Overview Airbus offers a full‑time graduate programme in Spain (#Discover II 2026/2027). The programme runs from 5 October 2026 until 1 October 2027 and includes an 11‑month internship at Airbus combined with a Master study block. The internship is full‑time
Graduate Program Overview Airbus offers more than 70 vacancies for our full‑time Graduate Program in Spain – #Discover II 2026/2027 – starting on 5th October 2026 until 1st October. ¿Le interesa este puesto? Puede encontrar toda la
Job Description: Asegúrese de enviar su solicitud rápidamente para maximizar sus posibilidades de ser considerado para una entrevista. Lea la descripción completa del puesto a continuación. Ready to join one of our Graduate Programs in Spain?
The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on
The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on
Airbus Defence and Space in Getafe, Spain, is offering a full-time graduate internship programme scheduled from October 2026 to October 2027. A continuación se detalla todo lo que necesita saber sobre lo que implica esta oportunidad, así como
The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on