#Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys job opportunity at Airbus SE.

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Airbus SE #Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys
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degreeAssociate
loacation Getafe Area, Spain
loacation Getafe Area....Spain

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 I 2026/2027 - Starting date 2nd March 2026 until 26th February . 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 October 2025 until February 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 March 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: An exciting opportunity is now available as a stress engineer in the structure simulation method team at Airbus inside the new Processes & Central Airframe Authority organization inside a fully transnational department. The Processes & Central Airframe Authority team is composed of highly experienced Airframe engineers in Design, Stress, Materials & Processes, Flight Test Installation. Thanks to the integration of these multiple skills and the high level of expertise, this team is referent for transverse Airframe engineering activities and manages the associated Technical Authority delegation. The main objective of the internship will be to develop a Machine Learning-based surrogate model for crack growth prediction in aeronautical alloys. This initiative aims to address current limitations in existing tools and explore new methodologies for more efficient and accurate analyses. Project Phases and Key Tasks: Phase 1: Machine Learning-Based Prediction of da/dN Curves Goal: To develop a robust ML model for predicting da/dN curves, offering a more precise fitting than traditional methods. It will include literature review, data collection and preprocessing of experimental da/dN curves and selection and implementation of appropriate ML algorithms (Gaussian processes, SVM, random forests...) for curve fitting Phase 2: Surrogate Model for static SIF calculator Goal: To create a surrogate model that can act as a static Stress Intensity Factor (SIF) calculator It will include identification of input parameters, design of experiments, and development of ML models capable of predicting static SIFs. Finally validation of the surrogate model's accuracy against established SIF solutions Phase 3 (if time permits): Combining Models for Crack Growth Prediction with Retardation Effects Goal: Development of an integrated workflow that uses the ML-predicted da/dN curves and the SIF surrogate model for incremental crack growth calculation 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 Ability to work in complex and international environments. Structural stress analysis, particularly in metallic fatigue and damage tolerance knowledge Analytical and problem-solving skills Programming languages (C+/Fortran/Python) Final Element modelling techniques (Abaqus, Nastran, Hypermesh) Language Skills: Negotiation level of English, Spanish 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! #Graduates_Spain #DISCOVER This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus Operations SL Employment Type: Internship ------- Experience Level: Student Job Family: Support to Management <JF-FA-ES> By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to  emsom@airbus.com . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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