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Airbus
Airbus

Aerospace company.

Advanced Numerical Simulations Intern at Airbus

RoleMachine Learning
LevelIntern
LocationBangalore Area
WorkOn-site
TypeInternship
Posted1 day ago
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About the role

Job Description:

An internship opportunity titled: “Cure Distortion Prediction using Machine Learning and Resin characterization through data analytics” has just opened at Airbus India located in Bangalore. You will join the Structures department

  • Advanced Numerical Simulations team which plays a key role across the lifecycle (Design, Certification and Inservice) of current and future aircraft programmes by developing and deploying state of the art and credible advanced numerical structural simulations.Your main missions will consist of :

  • Perform literature survey on process induced deformation in composite curing process.

  • Implement solutions within the established framework using Abaqus/Analytical methods.

  • Create parametric models for simulation and automate end to end processes.

  • Perform design of experiment studies to quantify the influence of process parameters.

  • Perform literature survey on the potential use of Machine learning models in curing simulation.

  • Create a dataframe from the solution field of above simulations for training a regression model.

  • Comparison of machine learning model results with that obtained from simulation.Your tutor will support you identify your professional objectives and develop your skills This internship will allow you to develop the following skills:

  • Application of FEA for studying complex problems

  • Presentation skills

  • Interpersonal skills

Your Boarding Pass:

You are pursuing technical Under Graduate or post graduate in Aerospace / Civil / Mechanical Engineering (or equivalent).You possess the following competences:

  • Technical skills :

  • Strong engineering fundamentals including knowledge of structural design and engineering mechanics of composite and metallic materials.

  • Finite element method / finite element analysis using ABAQUS.

  • Good programming skills in python.

  • Machine learning model development and deployment.- Soft Skills :

  • Ability to work independently

  • Good communication and interpersonal skills

  • Flexibility & adaptability- Language skills :

  • English: Advanced

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 India Private Limited:

Employment Type:

Internship

Experience Level:

Entry Level

Job Family:

Structure & Dynamic Systems Analysis:

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.

Required skills

Finite element analysis

Data analysis

Machine learning

Simulation automation

Research

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About Airbus

Airbus

Airbus

Public

Airbus SE is a European aerospace corporation. While the company's primary business is the design and manufacture of commercial aircraft, it also operates separate divisions for Defence and Space and Helicopters.

10,001+

Employees

Leiden

Headquarters

$89B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.5

Management

3.8

72%

Recommend to a friend

Pros

Learning opportunities and professional development

Supportive team and collaborative environment

Good compensation and benefits

Cons

High pressure and performance expectations

Long hours and overwhelming workload

Bureaucratic and rigid structure

Salary Ranges

43 data points

Junior/L3

L2

L6

L3

L4

L5

Junior/L3 · Data Science Engineer

1 reports

$114,826

total per year

Base

$88,327

Stock

-

Bonus

-

$114,826

$114,826

Interview experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

25%

Experience

Positive 25%

Neutral 75%

Negative 0%

Interview process

1

Application Review

2

HR Screen

3

Technical/Hiring Manager Interview

4

Panel Interview

5

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit