Master Thesis: Differentiable Ray Tracing for Wireless

AIT Austrian Institute of Technology GmbH; Wien; On-site; EUR 13,000 - 18,000; Part time

Benefits offered by this job

Canteen benefit

Meal allowance

Coffee & fruit baskets

Healthcare benefits

Flexible hours

Home office option

Leisure subsidies

Job summary

AIT Austrian Institute of Technology GmbH in Vienna invites applications for a master’s thesis position in the Reliable Wireless Communication and Sensing group. You will support our research projects focusing on reliable wireless 5G/6G communication and sensing.

The project involves differentiable ray tracing, atmospheric refraction models, and learning environment properties from measurements. You will implement and evaluate models, develop simulation workflows, and gain hands-on experience

Qualifications

• Pursuing a master’s degree in a relevant field.
• Strong Python programming skills.
• Experience with scientific computing tools (NumPy, TensorFlow, PyTorch, or Sionna) is a plus.
• Solid understanding of electromagnetics, wave propagation, or wireless communications.
• Ability to work independently within an interdisciplinary team.

Responsibilities

• Support research projects focusing on reliable wireless 5G/6G and sensing.
• Implement and evaluate atmospheric refraction models in differentiable ray tracing.
• Develop and validate simulation workflows for large-scale radio propagation.
• Collaborate with researchers to advance differentiable ray-tracing methods.
• Prepare and present results with guidance from senior researchers.

Skills

Python

OO programming

English skills

Education

Master's degree in Electrical Engineering, Computer Science, Telecommunications, Physics

Tools

NumPy

TensorFlow

PyTorch

Sionna

Job description

AIT Austrian Institute of Technology GmbH in Vienna invites applications for a master’s thesis position in the Reliable Wireless Communication and Sensing group. You will support our research projects focusing on reliable wireless 5G/6G communication and sensing.

The project involves differentiable ray tracing, atmospheric refraction models, and learning environment properties from measurements. You will implement and evaluate models, develop simulation workflows, and gain hands-on experience