Job Description:

Join Materials, Processes & Test department at Airbus

- To perform composite raw material qualifications

- To drive AI/ ML applications in composite material domain

- Drive the First part Part Qualification of the composite parts and enable production readiness within the stipulated timeline

- to understand all kind of Thermoset, Thermoplastic & Core materials

- to understand all kind of different technologies for composites manufacturing

Skills/Experience:

Knowledge and work experience on thermoset polymer matrix composite materials

• Prepregs

• Fibres – Carbon, Glass, Aramid

• Thermoset resin systems – Epoxy, Phenolic, Bismaleimides

• Cores

Honeycomb – Aluminium, Nomex, Glass

• Foam – Rohacell/PU

• Lightning strike Protection material – Copper mesh, Bronze mesh

• Peel ply

• Bonding adhesives

Manufacturing of thermoset Composite parts

• Monolithic/Sandwich parts

• Co-curing, Co-bonding, Secondary bonding processes

• Hand Layup/Vacuum bagging

• Auxiliary materials – Release film, Bagging film, Breather, Sealant tape

• Autoclave/Oven/Press curing

• Demoulding/Machining

• Automated Layup process – ATL/AFPTesting of thermoset Composite materials according to standards, e.g.: ASTM/EN

• Physical properties – Areal weight, Cured ply thickness, resin content, volatile content

• Chemical properties – DSC, Gel time, Viscosity, HPLC, FTIR

• Mechanical properties – DMA - Tg, Tensile, ILSS, IPS, Compression, Flatwise tensile, Peel strength, G1C

Knowledge on New product development (NPD) process for aerospace parts

• FPQ/FAI – First Part Qualification, First Article Inspection

Requirements for AS/EN9100 quality standard & related documentation

Who We Are Looking For

• You have a Bachelors or Master degree or PhD in Polymer Technology or Material Engineering or equivalent

• With 1-3 Years’ of relevant experience

• Good professional experiences in the area of polymers and its application as Composites and surface pre-treatment technology and associated characterization techniques

• Proficiency in python, google appscript, etc (any one programming language)

• Hands-on exploratory data analysis

• Knowledge of ML algorithms such as regression, decision trees, random forest, etc.

• Automation & Digitalization experience

• Excellent communication.

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:

Permanent

Experience Level:

Professional

Job Family:

Materials & Processes:

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.