Airbus | Hiring | InternshipAerodynamics assessment using Machine Learning and Semi Empirical Methods | BigDataKB.com | 1/11/2022

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Airbus

Bangalore

Aerospace & Defence

Job Description:
Main responsibilities:
The intern will have to develop a process and a robust tool that will predict aerodynamics characteristics like lift, drag etc. on different shapes using a combination of semi-empirical methods and state of art Machine Learning techniques
Main activities:
  • Understanding the problem statement, previous work done and coming up with a plan based on literature survey, discussion with experts etc.
  • Implement the algorithms in Python using off-the-shelf libraries
  • Data generation to train/validate the model , if needed
  • Testing and improving the model
  • Documentation of the code and the work done
Skills:
  • Basics understanding of Aerodynamics, Probability , Data interpretation
  • Good experience in coding , Machine Learning techniques
Specialization/Stream: Candidates from any relevant engineering discipline with above skill set
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 Group India Private Limited

Contract Type:

Internship / Stage / Praktikum / Beca

Experience Level:

Entry Level / Débutant / Anfänger / Recién titulado

Job Family:

Flight & Space Physics <JF-EN-EE>

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

.

Apply Here

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