Airbus Operations is looking to leverage Artificial Intelligence for Work Content Integration in Production Line Balancing A320 FALs Family to achieve a smooth, efficient flow, minimize idle time, and avoid bottlenecks in the Aerospace industry
Requirements
- Enrolled full-time student (d/f/m) in the area of Economical Engineering, Computer Science, Production and Logistics, Artificial Intelligence or an equivalent field of study
- Understanding for Information Systems
- Strong analytical skills and the ability to simplify complex topics and develop implementable solutions
- Fluent English language skills, German or French would be an advantage
- First practical experience working in a matrix organization or a corporate setup is desirable
- Good communication skills
Responsibilities
- AI-driven E2E PERT/constraints review or definition: mining existing data sources (e.g. from CAD/PLM system, MES/ERP system, Work Instructions) or learning precedence relationships (e.g. Graph Neural Networks)
- AI-automated integration of Out of Sequence Work: constraint learning and refinement, constraint relaxation rules, identification of references & interdependencies in data
- Requirements Elicitation
- Functional Requirements
- Non-Functional Requirements
- AI Capability Mapping and Assessment
- Requirements Fulfillment Analysis
Other
- Work-life balance with a 35-hour week (flexitime)
- Traveling within Europe is possible after consultation and agreement from the department
- International environment with the opportunity to network globally
- Opportunity to participate in the Generation Airbus Community to expand your own network
- Upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate
