Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products
The Optical Technology Laboratory in Munich researches and develops signal processing, components and systems for fixed access, data center networks, metro and long-haul optical networks. The department engages in local research and collaborates with academic and industrial partners from the European ecosystem. As part of our team, you’ll have the opportunity to work at the forefront of research, collaborating with brilliant minds to develop groundbreaking technologies that make a real impact on the world.
Join us as a
Master Thesis Student in AI-Driven Optimization for Reconfigurable Quantum Communication Networks (m/f/d
Your mission
Develop AI-based methods for optimizing switching decisions in reconfigurable quantum communication networks.
Design and implement machine learning, reinforcement learning, or graph‑based models that exploit the network’s inherent structure.
Integrate your approach into our existing simulation and optimization framework, and benchmark it against established baselines.
Work in close collaboration with a multidisciplinary research team spanning quantum communication, optimization, and machine learning
Publish and present research findings at academic conferences.
Contribute to intellectual property generation.
Your areas of expertise
We are looking for a motivated Master’s student eager to write their thesis at the intersection of AI and quantum network optimization. You should have strong mathematical foundations, solid experience in machine learning, and a desire to work independently on challenging research problems.
Enrolled Master’s student in computer science, mathematics, physics, electrical engineering, or a closely related field.
Strong mathematical maturity, with a solid grasp of linear algebra, graph theory, and ideally combinatorial optimization.
Demonstrated experience in machine learning, deep learning, and/or reinforcement learning.
Proficiency in Python; competence in C++ is welcome but not required
Fluent in written and spoken English
Ability to work independently, think critically, and communicate clearly.
No prior knowledge of quantum mechanics or quantum communication is necessary—just a willingness to learn the basics.
By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.
Your rewards of working here
Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
Self-responsible work in a competent, motivated and constantly growing team.
Please send your application and CV (incl. cover letter and reference letters) in English.
Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.
Master Thesis AI-Driven Optimization for Reconfigurable Quantum Communication Networks • München, Bayern, Germany
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