Descripción
1 Master Thesis "Differentiable Ray Tracing for Radio Propagation Modeling" - JOB ID: 269596 * Differentiable ray-tracing frameworks such as Sionna RT have become powerful tools for wireless channel modeling. This master's thesis advances differentiable ray tracing for realistic large-scale radio propagation, either by integrating atmospheric refraction models or by learning electromagnetic environment properties directly from channel measurements. * Under the guidance of our team, you will implement and evaluate atmospheric refraction models in the differentiable ray-tracing framework Sionna RT. * You will implement and evaluate differentiable algorithms for estimating electromagnetic material properties from real-world channel measurements. * You will learn how to develop and validate simulation workflows for large-scale radio propagation, combining physics-based propagation models with discrete ray tracing, low-complexity ray-shooting, and gradient-based optimisation techniques. * You will gain hands-on experience with modern wireless communication simulation frameworks, electromagnetic wave propagation, physics-based and inverse modeling, and AI-enabled optimisation methods. * You will work closely with researchers in wireless communications and contribute to the development of next-generation ray-tracing methods for realistic large-scale propagation prediction. Your qualifications: * You are pursuing a master's degree in Electrical Engineering, Computer Science, Telecommunications, Physics, or a related field. * First experience in at least one of the following areas: (i) atmospheric refraction modelling for ray tracing or (ii) learning environment properties using differentiable ray tracing. Candidates should explain in their cover letter how their background matches one of these areas and demonstrate relevant expertise. * You have solid programming skills in Python; experience with object-oriented software development is an advantage. * You have a basic under