Wireless technology is a vital part of today’s world, supporting billions of devices in real time. To maintain this, a range of innovative technologies, including optimization algorithms and AI models, are employed. Radio signals represent an exciting frontier for machine learning with some unprecedented opportunities for innovation. Starting with an exploration of data spaces and representations in the new domain, this rapidly evolving field is built upon a creative blend of mathematical and computer science methods.

What you will do:

This master thesis project focuses on the development of an algorithm for manifold exploration based on computational geometry. It will involve:

• Learning about state-of-the-art geometric methods in wireless technology
• Quick prototyping of space exploration algorithms
• Working with the cutting-edge hardware acceleration
• Exploring geometric and data-driven algorithms