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Phd thesis: data driven aging optimisation of coatings on composites (d/f/m) limited experience

München
E Airbus Defence and Space GmbH
Driver
Inserat online seit: 22 Oktober
Beschreibung

Job Description:** Are you looking for a PhD thesis? Would you like to discover the work of a material scientist? We look forward to you joining us as an PhD student (d/f/m) at Airbus CRT for 35 hours/ week, flexi-time Location: ** Ottobrunn, Munich Start: ** ideally 1st of January 2026 Duration: ** 36 months Airbus is a global pioneer in aeronautics, space and defense related services, creating cutting-edge technologies. Combining European heritage with global outreach, the diversity of our talent and technology drives innovation, integration and internationalization. Airbus CRT is the central research domain of the Airbus company, in charge of fundamental research for all Airbus divisions. For this reason, it is paramount first to develop a detailed and sound understanding of the chemical and physical degradation and aging mechanisms of coatings - in order to then become able to design and develop robust protective paint systems making use of the most advanced analytical, experimental and machine learning methods. As a PhD student at Airbus CRT you will be a member of the materials team, be in charge of your PhD project, participate in technical project meetings with our customers and with our technical experts. The PhD thesis will be dedicated to understanding the operational and environmental aging processes of protective polymer coatings for composite structures, to applying advanced statistical and machine learning methods to capture the full breadth of the degradation problem, and to using computational chemistry and machine learning methods to design, develop and test new robust paint formulations. Your exciting tasks** Experimental degradation investigations of protective paint systems for aircraft Modelling and understanding of the main degradation mechanics and their severity Designing, developing and testing new robust protective paint formulations for composites Becoming familiar with most advanced experimental, numerical and machine learning methods for analysing test data and for developing new materials Write scientific papers, technical reports, and present them at conferences and meeting Requirements ** Master degree in a field like Chemistry, Materials Science, or Chemical Engineering Office applications (Google Workspace) Molecular dynamics tools, Python programming and basic understanding of using machine learning tools (would be pluses) Experience of working with polymer coatings (basics) Coupon manufacturing, physico-chemical testing, and data analysis (basics) English (full professional command) You like working in a diverse team, you have excellent communication skills, and are able to plan and execute your share of the work independently 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 Defence and Space GmbH Employment Type:* PHD, Research Experience Level:* Student 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. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. At Airbus, we support you to work, connect and collaborate more easily and flexibly.

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