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Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
Description
You will drive innovation in AI privacy by developing secure machine learning methods and collaborating with expert teams to publish research and generate new intellectual property.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Motivation and creativity
- •Strong technical background in machine learning or secure multiparty computation
- •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 written and spoken English
Education
Tasks
- •Investigate new 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 research findings at academic conferences
- •Present research results to the academic community
- •Contribute to the generation of intellectual property
Tools & Technologies
Languages
English – Business Fluent
Benefits
Informal Culture
- •Innovative culture and team spirit
- •Diverse and welcoming environment
- •Competent and motivated team
Learning & Development
- •Global knowledge exchange network
- •Broad range of training opportunities
- •Online and face-to-face training
- •German and Mandarin language courses
Free or Subsidized Food
- •Company canteen with diverse meals
Purpose-Driven Work
- •Self-responsible work
- Huawei Research Center Germany & AustriaFull-timeWorking StudentOn-siteMünchen
- Huawei
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Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
The AI Job Search Engine
Description
You will drive innovation in AI privacy by developing secure machine learning methods and collaborating with expert teams to publish research and generate new intellectual property.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Motivation and creativity
- •Strong technical background in machine learning or secure multiparty computation
- •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 written and spoken English
Education
Tasks
- •Investigate new 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 research findings at academic conferences
- •Present research results to the academic community
- •Contribute to the generation of intellectual property
Tools & Technologies
Languages
English – Business Fluent
Benefits
Informal Culture
- •Innovative culture and team spirit
- •Diverse and welcoming environment
- •Competent and motivated team
Learning & Development
- •Global knowledge exchange network
- •Broad range of training opportunities
- •Online and face-to-face training
- •German and Mandarin language courses
Free or Subsidized Food
- •Company canteen with diverse meals
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.
- Huawei Research Center Germany & Austria
Master Thesis Student - 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 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 - Huawei Research Center Germany & Austria
Internship /Working Student/ Master Thesis in System Security / OS Security(m/w/x)
Full-timeInternshipOn-siteMünchen