Airbus Defence and Space GmbH
Internship in Probabilistic Deep Learning(m/w/x)
Full-timeInternshipOn-site
Taufkirchen, München, Ottobrunn
New Job?Nejo!
Your personal AI career agent
AIAirbus Defence and Space GmbH
PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning“(m/w/x)
München
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
Benefits
Flexible Working
- Flexitime
- Work-life balance
- Flexible working arrangements
Competitive Pay
- Attractive salary
Informal Culture
- International environment
Career Advancement
- Global networking opportunities
Diverse Work
- Modern and diversified technologies
Social Impact
- Generation Airbus Community participation
Mentorship & Coaching
- Personal growth support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Airbus Defence and Space GmbH
Internship in Neuromorphic Computer Vision(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Airbus Defence and Space GmbH
PhD on joint communication and sensing for aeronautical applications(m/w/x)
Full-timeInternshipOn-siteTaufkirchen, Ottobrunn - Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Full-timeOn-siteNot specifiedMünchen
AIAirbus Defence and Space GmbH
PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning“(m/w/x)
München
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
Benefits
Flexible Working
- Flexitime
- Work-life balance
- Flexible working arrangements
Competitive Pay
- Attractive salary
Informal Culture
- International environment
Career Advancement
- Global networking opportunities
Diverse Work
- Modern and diversified technologies
Social Impact
- Generation Airbus Community participation
Mentorship & Coaching
- Personal growth support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Not a perfect match?
- Airbus Defence and Space GmbH
Internship in Probabilistic Deep Learning(m/w/x)
Full-timeInternshipOn-siteTaufkirchen, München, Ottobrunn - Airbus Defence and Space GmbH
Internship in Neuromorphic Computer Vision(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Airbus Defence and Space GmbH
PhD on joint communication and sensing for aeronautical applications(m/w/x)
Full-timeInternshipOn-siteTaufkirchen, Ottobrunn - Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Full-timeOn-siteNot specifiedMünchen