Process Parameters Data Analyst (m/f/d) for AIRBUS

Process Parameters Data Analyst (m/f/d) for AIRBUS

Our Offer

• Exciting jobs at interesting companies such as Airbus Operations, Airbus Defence & Space, and the aerospace supply industry
• Attractive and fair salary conditions
• Comprehensive employee benefits program 'Orizon PlusPunkte'
• Training measures suiting your tasks and activities
• Up to 30 days of annual leave
• Personal support and qualified advice at the Unit Aviation offices, e.g.in Hamburg-Finkenwerder, Stade, Augsburg, Munich, or Bremen

Your Prospective Job

For our renowned customer Airbus Defence and Space you are acting as a Process Parameters Data Analyst (m/f/d) at the location Taufkirchen.

Your Responsibilities

• Exploring so-called inverse design methods based on data-driven approaches like machine learning to accelerate advanced materials design. In inverse design, optimal material configurations are derived directly from given performance requirements, minimizing the number of material optimization cycles
• Developing and proposing research projects in the field of inverse design of composite materials & coating technologies in accordance with the Central Research & Technology strategic path
• Scientific driven research execution with its own responsibility in a transnational organization and within an international network with many academic partners (academics, universities, technology institutes, ...), industrial partners or start-ups
• Exchange with the entire Airus materials and surface technology ecosystem to maintain and lead the state-of-the art in the respective field
• Continue to acquire high level technical skills in the materials science area: adopt and use artificial intelligence / machine learning tools, latest data-driven materials design approaches, optimization routines for complex structural aircraft components, etc.

Your Profile

• Completed studies in computer science or a comparable qualification
• Several years of work experience in IT / information systems
• Good understanding of digital materials design & development tools based on artificial intelligence / machine learning with the ability to integrate experimental and numerical test data in the analysis and optimization processes is required
• Basic understanding of mechanical, thermal, and interfacial properties of simple or multicomponent materials and composites and their multifunctional properties (e.g. thermal, electrical, mechanical) is required
• Good command of data-driven approaches for solving complex problems in materials science and other research areas
• Good Knowledge in MS-Office
• Knowledge in C++ / machine learning / edge computing is a must have
• Fluent German and English skills both spoken and written