Publisher
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Airbus Defence and Space (ADS)

PhD Position in Intelligent Process Monitoring and Digital Twinning for Additive Manufacturing Airbus Defence and Space in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Germany

University

Airbus Defence and Space (ADS)

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Materials Science
Mathematics
Industry 4.0
Additive Manufacturing
Digital Twin Technology
Anomaly Detection
Wireless Sensor Network
Physics
ML

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About this position

Airbus Defence and Space is advertising an open PhD position focused on intelligent process monitoring and digital twinning for additive manufacturing. The project sits at the intersection of Materials Science, Mechanical Engineering, Computer Science, Electrical Engineering, Physics, and Mathematics, with emphasis on Industry 4.0 methods for manufacturing research.

Research themes highlighted in the post include in-situ monitoring for real-time quality control, sensor architectures and sensor integration, digital twins linking physical manufacturing with virtual models, and data-driven insights using machine learning for early anomaly detection. The role is aimed at candidates interested in bridging solid-state manufacturing with advanced digital frameworks.

Eligibility highlights: applicants should have a Master’s degree in Engineering, Mathematics, Physics, Data Science, or a related field. The post also looks for a strong foundation in sensor integration, data analytics, or process modeling.

No funding details or deadline were stated in the post. To apply, use the provided application link and follow the instructions on the application page.

Funding details

Available

What's required

Applicants should hold a Master’s degree in Engineering, Mathematics, Physics, Data Science, or a related field. A strong foundation in sensor integration, data analytics, or process modeling is preferred, along with interest in bridging solid-state manufacturing with digital frameworks.

How to apply

Apply through the linked application page for the open PhD position. Review the posting and submit your application via the provided short link.

More information can be found here

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