Internship - Flight Physics Capabilities

Job Description:

Internship Program (Title): Sorting tool development

Main responsibilities: At present, a Fortran based tool is used to sort large data and generate 1D, 2D data in specific format. The same is now migrated in Python with basic functionality. The mission of this internship is to make this tool more efficient, handling multiple inputs (1000’s of file),enhance the functionalities and perform arithmetic operations on Structural Loads data.

Main activities: 

Improve the tool efficiency to handle multiple files in the same manner as the existing Fortran tool.

Implement new specifications.

Skills: 

Experience in Python advanced Coding- Pandas, Numpy, Scipy, multithreading, memory management (Must Have).

Experience in Sorting algorithms (Must Have)

Experience in Python profiling(Optional).

Specialization/Stream:  Candidate with any engineering background and very good coding experience in Python.

Duration of Internship: 6 months. 

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:

Employment Type:

-------

Experience Level:

Job Family:

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&64;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.