PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning" - Inklusiver Job 🦼 🦻 🦯

Job Description :

In order to support Airbus Central Research & Technology , Airbus Defence and Space is looking for a

PhD in Probabilistic Deep Learning (d / f / m)

Are you motivated to help bring deep learning into safety-critical real-world applications? If so, we encourage you to apply.

We are offering a PhD position within the AI team at Airbus Central Research and Technology, with a focus on advanced research in probabilistic and Bayesian deep learning. Deploying deep learning in safety-critical domains requires more than strong predictive performance : it demands well-calibrated uncertainty, principled treatment of model confidence, and methods that remain reliable under distributional shift.

In this role, you will contribute to the development and rigorous evaluation of uncertainty-aware neural networks, Bayesian inference techniques, and probabilistic models. Your work will help establish the methodological foundations for trustworthy AI systems that can be deployed responsibly in high-stakes aerospace settings. This position offers a distinctive opportunity to shape the next generation of probabilistic deep learning methods for safety-critical applications.

Start : as soon as possible

Duration : 3 years

Your location :

Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Your benefits :

• Attractive salary and work-life balance with a 35-hour week (flexitime).
• International environment with the opportunity to network globally.
• Work with modern / diversified technologies.
• Opportunity to participate in the Generation Airbus Community to expand your own network.

Scope of PhD thesis :

The overarching objective of this PhD thesis is to advance the theoretical and practical state of the art in Bayesian deep learning and uncertainty quantification (UQ) by designing and rigorously validating robust probabilistic models. The ultimate aim is to enable verifiable safety guarantees and trustworthy deployment of AI systems in safety-critical aerospace applications.

This objective will be pursued along the following research axes :

Qualifications :

Please upload the following documents : cover letter, CV, relevant transcripts, enrollment certificate.

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

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 :

Research and Technology

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