#Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys
Airbus
#Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys
Job Description
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 SLEmployment Type:
Internship-------
Experience Level:
StudentJob 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.
Locations
- Getafe Area,
Salary
45,000 - 65,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Ability to work in complex and international environmentsintermediate
- Structural stress analysis, particularly in metallic fatigue and damage toleranceintermediate
- Analytical and problem-solving skillsintermediate
- Programming languages (C++/Fortran/Python)intermediate
- Finite Element modelling techniques (Abaqus, Nastran, Hypermesh)intermediate
- Negotiation level of Englishintermediate
- Spanishintermediate
Required Qualifications
- Educated to degree level (or equivalent) in Aerospace Engineering (experience)
- Recent graduate (experience)
Responsibilities
- Develop a Machine Learning-based surrogate model for crack growth prediction in aeronautical alloys
- Phase 1: Conduct literature review, data collection and preprocessing of experimental da/dN curves, selection and implementation of ML algorithms (Gaussian processes, SVM, random forests) for da/dN curve fitting
- Phase 2: Identify input parameters, design of experiments, develop ML models for static Stress Intensity Factor (SIF) prediction, validate surrogate model accuracy against established SIF solutions
- Phase 3 (if time permits): Develop integrated workflow combining ML-predicted da/dN curves and SIF surrogate model for incremental crack growth calculation with retardation effects
- 11-month full-time internship (40h/week) at Airbus in area related to degree
- Study a Master organized in three training blocks
Benefits
- general: Attractive study grant
- general: Foster professional development with strong academic background and in-depth collaboration in Airbus projects
- general: Expand network within the aeronautical industry
- general: Part of diversity and teamwork culture
- general: Flexible working arrangements
- general: Inclusive working environment
Tags & Categories
Answer 10 quick questions to check your fit for #Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys @ Airbus.
Related Books and Jobs
#Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys
Airbus
#Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys
Job Description
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 SLEmployment Type:
Internship-------
Experience Level:
StudentJob 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.
Locations
- Getafe Area,
Salary
45,000 - 65,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Ability to work in complex and international environmentsintermediate
- Structural stress analysis, particularly in metallic fatigue and damage toleranceintermediate
- Analytical and problem-solving skillsintermediate
- Programming languages (C++/Fortran/Python)intermediate
- Finite Element modelling techniques (Abaqus, Nastran, Hypermesh)intermediate
- Negotiation level of Englishintermediate
- Spanishintermediate
Required Qualifications
- Educated to degree level (or equivalent) in Aerospace Engineering (experience)
- Recent graduate (experience)
Responsibilities
- Develop a Machine Learning-based surrogate model for crack growth prediction in aeronautical alloys
- Phase 1: Conduct literature review, data collection and preprocessing of experimental da/dN curves, selection and implementation of ML algorithms (Gaussian processes, SVM, random forests) for da/dN curve fitting
- Phase 2: Identify input parameters, design of experiments, develop ML models for static Stress Intensity Factor (SIF) prediction, validate surrogate model accuracy against established SIF solutions
- Phase 3 (if time permits): Develop integrated workflow combining ML-predicted da/dN curves and SIF surrogate model for incremental crack growth calculation with retardation effects
- 11-month full-time internship (40h/week) at Airbus in area related to degree
- Study a Master organized in three training blocks
Benefits
- general: Attractive study grant
- general: Foster professional development with strong academic background and in-depth collaboration in Airbus projects
- general: Expand network within the aeronautical industry
- general: Part of diversity and teamwork culture
- general: Flexible working arrangements
- general: Inclusive working environment
Tags & Categories
Answer 10 quick questions to check your fit for #Discover I 2026-2027 | Machine Learning-Based Predictions of Crack Growth on Aeronautical Alloys @ Airbus.
Related Books and Jobs