How do I apply for the Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI position at Huawei Austria and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI role?

This position is a not disclosed, structured as a not disclosed role.

What educational background or degree level is required for the Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI at Huawei Austria?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does Huawei Austria provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI

Huawei Austria

Found 2 months ago

Location

Munich, Germany

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

machine learning
secure multiparty computation
Python
C++

Soft Skills

motivated
creative
curiosity for new technologies
desire to make a difference

Job Description

Investigate new methods for preserving privacy in distributed machine learning environments. Adapt libraries for secure multiparty computation to include novel primitives. Develop and test machine-learning use cases utilizing secure multiparty computation. Collaborate with multidisciplinary teams on exciting projects. Publish and present research findings at academic conferences. Contribute to intellectual property generation.

Requirements

Enrolled Master’s student in electrical engineering, informatics, telecommunications, or a related field
In-depth experience with machine learning and/or secure multiparty computation
Proficiency in Python and C++
Fluent in written and spoken English language

AI & Machine Learning

Applied Machine Learning

Languages

English

Apply Now

4Open Positions