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PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning“(m/w/x)
Developing uncertainty-aware neural networks and Bayesian inference for trustworthy AI systems in aerospace research. Strong background in mathematics, statistics, and probabilistic deep learning required. 35-hour week, flexitime.
Anforderungen
- Master’s Degree in computer science or equivalent
- Strong background in mathematics and statistics
- Passion for Python/PyTorch and deep-learning implementation
- Background in probabilistic or Bayesian deep learning
- Fluency in English
- Compliance risk awareness and integrity commitment
- Submission of cover letter, CV, and transcripts
Aufgaben
- Develop uncertainty-aware neural networks and probabilistic models
- Research Bayesian inference techniques for deep learning
- Establish methodological foundations for trustworthy AI systems
- Design robust models for uncertainty quantification
- Analyze epistemic and aleatoric uncertainty in networks
- Implement aerospace-relevant benchmarks and safety metrics
- Design scalable Bayesian architectures for embedded hardware
- Conduct empirical studies on predictive uncertainty calibration
- Develop diagnostic tools for aerospace risk profiles
- Characterize and monitor model operational applicability domains
- Explore active learning strategies to expand safety margins
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Benefits
Flexibles Arbeiten
- Flexitime
- Work-life balance
- Flexible working arrangements
Attraktive Vergütung
- Attractive salary
Lockere Unternehmenskultur
- International environment
Karriere- und Weiterentwicklung
- Global networking opportunities
Abwechslungsreiche Aufgaben
- Modern and diversified technologies
Gemeinnützige Ausrichtung
- Generation Airbus Community participation
Mentoring & Coaching
- Personal growth support
Noch nicht perfekt?
- Airbus Defence and Space GmbHVollzeitPraktikumnur vor OrtTaufkirchen, München, Ottobrunn
- Airbus Defence and Space GmbH
Internship in Neuromorphic Computer Vision(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Airbus Defence and Space GmbH
PhD Thesis on Wireless Over-The-Air Computation for Aerospace Applications(m/w/x)
Vollzeitnur vor OrtKeine AngabeTaufkirchen, Ottobrunn
PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning“(m/w/x)
Developing uncertainty-aware neural networks and Bayesian inference for trustworthy AI systems in aerospace research. Strong background in mathematics, statistics, and probabilistic deep learning required. 35-hour week, flexitime.
Anforderungen
- Master’s Degree in computer science or equivalent
- Strong background in mathematics and statistics
- Passion for Python/PyTorch and deep-learning implementation
- Background in probabilistic or Bayesian deep learning
- Fluency in English
- Compliance risk awareness and integrity commitment
- Submission of cover letter, CV, and transcripts
Aufgaben
- Develop uncertainty-aware neural networks and probabilistic models
- Research Bayesian inference techniques for deep learning
- Establish methodological foundations for trustworthy AI systems
- Design robust models for uncertainty quantification
- Analyze epistemic and aleatoric uncertainty in networks
- Implement aerospace-relevant benchmarks and safety metrics
- Design scalable Bayesian architectures for embedded hardware
- Conduct empirical studies on predictive uncertainty calibration
- Develop diagnostic tools for aerospace risk profiles
- Characterize and monitor model operational applicability domains
- Explore active learning strategies to expand safety margins
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Benefits
Flexibles Arbeiten
- Flexitime
- Work-life balance
- Flexible working arrangements
Attraktive Vergütung
- Attractive salary
Lockere Unternehmenskultur
- International environment
Karriere- und Weiterentwicklung
- Global networking opportunities
Abwechslungsreiche Aufgaben
- Modern and diversified technologies
Gemeinnützige Ausrichtung
- Generation Airbus Community participation
Mentoring & Coaching
- Personal growth support
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Noch nicht perfekt?
- Airbus Defence and Space GmbH
Internship in Probabilistic Deep Learning(m/w/x)
VollzeitPraktikumnur vor OrtTaufkirchen, München, Ottobrunn - Airbus Defence and Space GmbH
Internship in Neuromorphic Computer Vision(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Airbus Defence and Space GmbH
PhD Thesis on Wireless Over-The-Air Computation for Aerospace Applications(m/w/x)
Vollzeitnur vor OrtKeine AngabeTaufkirchen, Ottobrunn