Airbus Defence and Space GmbH
Internship in Quantum-Inspired Methods for AI Model Optimization(m/w/x)
Full-timeInternshipOn-site
Taufkirchen, Ottobrunn
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AIAirbus Defence and Space GmbH
Internship in Probabilistic Deep Learning(m/w/x)
Taufkirchen, München, Ottobrunn
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Research exploring Bayesian deep learning techniques for aerospace demonstrators. Python/PyTorch ML algorithm implementation and Bayesian deep learning experience required. Flexible working arrangements.
Requirements
- Enrollment as a full-time student in computer science, information technology, mathematics, engineering, or similar field
- Experience in implementing machine learning algorithms using Python/PyTorch
- Experience in Bayesian deep learning and uncertainty quantification
- Ability to work independently
- Proficiency in English
- Student status
Tasks
- Support research activities in machine learning
- Focus on probabilistic deep learning
- Explore Bayesian deep learning techniques
- Conduct uncertainty quantification
- Contribute to the development of aerospace demonstrators
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
Benefits
Competitive Pay
- Attractive salary
Family Support
- Work-life balance
Flexible Working
- Flexible working arrangements
Career Advancement
- Opportunity to network globally
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.
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AIAirbus Defence and Space GmbH
Internship in Probabilistic Deep Learning(m/w/x)
Taufkirchen, München, Ottobrunn
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Research exploring Bayesian deep learning techniques for aerospace demonstrators. Python/PyTorch ML algorithm implementation and Bayesian deep learning experience required. Flexible working arrangements.
Requirements
- Enrollment as a full-time student in computer science, information technology, mathematics, engineering, or similar field
- Experience in implementing machine learning algorithms using Python/PyTorch
- Experience in Bayesian deep learning and uncertainty quantification
- Ability to work independently
- Proficiency in English
- Student status
Tasks
- Support research activities in machine learning
- Focus on probabilistic deep learning
- Explore Bayesian deep learning techniques
- Conduct uncertainty quantification
- Contribute to the development of aerospace demonstrators
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
Benefits
Competitive Pay
- Attractive salary
Family Support
- Work-life balance
Flexible Working
- Flexible working arrangements
Career Advancement
- Opportunity to network globally
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?
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