PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning“
Acubed(8 days ago)
About this role
Airbus Defence and Space is seeking a PhD candidate to conduct advanced research in probabilistic and Bayesian deep learning, focusing on uncertainty quantification and trustworthy AI for safety-critical aerospace applications. The position involves developing robust models and validation frameworks, ultimately enabling safe deployment of AI systems.
Required Skills
- Python
- PyTorch
- Deep Learning
- Bayesian Inference
- Uncertainty Quantification
- Probabilistic Models
- Out-of-Distribution Detection
- Model Calibration
- Empirical Validation
- Active Learning
About Acubed
airbus.comAirbus is a global aerospace and defence company that designs, manufactures and delivers commercial aircraft, helicopters, military transports, satellites, launchers and related systems. It also provides avionics, services and digital solutions across the aviation and space lifecycle, including aftermarket support and mission systems. The company prioritizes sustainable aerospace and safety, investing in low‑emission technologies, zero‑emission flight concepts and advanced manufacturing. Airbus serves airlines, governments and space agencies worldwide through a broad industrial and customer‑support network.
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