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Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
Investigating privacy-preserving methods for distributed machine learning, adapting secure multiparty computation libraries for a global ICT solutions provider. Enrolled Master’s student in electrical engineering, informatics, or telecommunications, with strong machine learning background, required. German and Mandarin language courses, healthy canteen meals.
Requirements
- Motivated and creative Master’s student
- Strong technical background in machine learning
- Curiosity for new technologies
- Desire to make a difference
- Enrolled Master’s student in electrical engineering, informatics, telecommunications, or related field
- In-depth experience with machine learning or secure multiparty computation
- Proficiency in Python and C++
- Fluent in written and spoken English
Tasks
- Investigate privacy-preserving methods for distributed machine learning
- Adapt secure multiparty computation libraries with novel primitives
- Develop machine-learning use cases using secure multiparty computation
- Test machine-learning use cases for performance and security
- Collaborate with multidisciplinary teams on innovative projects
- Publish and present research findings at academic conferences
- Contribute to the generation of intellectual property
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Machine learning
- Secure multiparty computation
Benefits
Free or Subsidized Food
- Healthy canteen meals
Learning & Development
- Broad training opportunities
- German language courses
- Mandarin language courses
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
Not a perfect match?
- Huawei Research Center Germany & AustriaFull-timeWorking StudentOn-siteMünchen
- Huawei
Intern/Master Thesis Student: Privacy Enhancing Technologies(m/w/x)
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Master Thesis Student - AI Algorithms for Modem Signal Processing(m/w/x)
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PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
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Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
Investigating privacy-preserving methods for distributed machine learning, adapting secure multiparty computation libraries for a global ICT solutions provider. Enrolled Master’s student in electrical engineering, informatics, or telecommunications, with strong machine learning background, required. German and Mandarin language courses, healthy canteen meals.
Requirements
- Motivated and creative Master’s student
- Strong technical background in machine learning
- Curiosity for new technologies
- Desire to make a difference
- Enrolled Master’s student in electrical engineering, informatics, telecommunications, or related field
- In-depth experience with machine learning or secure multiparty computation
- Proficiency in Python and C++
- Fluent in written and spoken English
Tasks
- Investigate privacy-preserving methods for distributed machine learning
- Adapt secure multiparty computation libraries with novel primitives
- Develop machine-learning use cases using secure multiparty computation
- Test machine-learning use cases for performance and security
- Collaborate with multidisciplinary teams on innovative projects
- Publish and present research findings at academic conferences
- Contribute to the generation of intellectual property
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Machine learning
- Secure multiparty computation
Benefits
Free or Subsidized Food
- Healthy canteen meals
Learning & Development
- Broad training opportunities
- German language courses
- Mandarin language courses
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
About the Company
Huawei Research Center Germany & Austria
Industry
IT
Description
Huawei is a leading global information and communications technology (ICT) solutions provider, committed to developing the future information society.
Not a perfect match?
- Huawei Research Center Germany & Austria
Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
Full-timeWorking StudentOn-siteMünchen - Huawei
Intern/Master Thesis Student: Privacy Enhancing Technologies(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei
Master Thesis Student - AI Algorithms for Modem Signal Processing(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
Full-timeOn-siteJuniorMünchen - Airbus Defence and Space GmbH
Master Thesis on Privacy Preserving Communication using Physical Layer Techniques(m/w/x)
Full-timeInternshipOn-siteMünchen