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/AFP

Testing 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.

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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.