This challenge awaits you:

• As part of our development and research activities in the field of automated driving (AD/ADAS), we are looking for motivated students who want to contribute to innovative and future-oriented topics in the context of virtual validation.

• The focus is explicitly on offline-based methods for data analysis as well as the development and improvement of simulation and perception models for virtual validation. There is no real-time ECU or in-vehicle implementation work involved.

• We focus on cutting-edge AI methods for vehicle perception as well as high-fidelity physical sensor models for virtual development and testing environments. You will work at the intersection of artificial intelligence, simulation, and data-driven modeling.

• Depending on your interests, we will jointly select a suitable topic in the interview and flexibly define the scope for a master thesis.

• You will also be part of an international team, collaborating closely with colleagues across multiple global locations and contributing to cross-site development and research activities.

Your Tasks:

Master Thesis in AI-based AD/ADAS Virtual Validation

This challenge awaits you: • As part of our development and research activities in the field of automated driving (AD/ADAS), we are looking for motivated students who want to contribute to innovative and future-oriented topics in the context of virtual validation. • The focus is explicitly on offline-based methods for data analysis as well as the development and improvement of simulation and perception models for virtual validation. There is no real-time ECU or in-vehicle implementation work involved. • We focus on cutting-edge AI methods for vehicle perception as well as high-fidelity physical sensor models for virtual development and testing environments. You will work at the intersection of artificial intelligence, simulation, and data-driven modeling. • Depending on your interests, we will jointly select a suitable topic in the interview and flexibly define the scope for a master thesis, mini thesis, internship, or working student position. • You will also be part of an international team, collaborating closely with colleagues across multiple global locations and contributing to cross-site development and research activities.

Your Responsibilities:

Topic Area 1:

Vision-Based Perception & Scene Understanding (Virtual Validation)

• Further development of innovative approaches in visual perception for automated driving in the context of offline analysis and virtual validation

• Research and implementation of methods for scene understanding, reasoning, and contextual interpretation of traffic situations

• Development and analysis of hybrid AI architectures (classical computer vision combined with vision and large language models)

• Investigation of robust scenario recognition methods in complex on- and off-highway simulation environments • Validation and evaluation of model behavior based on simulation or recorded measurement data

Topic Area 2:

Physical Sensor Modeling & Simulation

• Further development of physically based sensor models for camera, radar, and lidar systems within virtual development environments

• Application and extension of simulation frameworks such as dSPACE ASM, CarMaker, Ansys, and MATLAB/Simulink

• Improvement of realism and accuracy of synthetic sensor data for ADAS/AD validation processes

• Integration and comparison of different sensor models in the context of data-driven offline analysis

• Investigation of innovative approaches for improving efficiency and scalability of simulation and validation pipelines

Necessary Skills:

• Currently enrolled in a degree program in Computer Science, Robotics, Mechatronics, Electrical Engineering, or a related field

• Advanced knowledge in at least one of the following areas:

• Computer Vision / Perception • Artificial Intelligence / Deep Learning / LLMs / VLMs • Simulation / Physical Modeling

• Strong programming skills in Python (C++ or MATLAB is a plus)

• Experience with modern AI frameworks (e.g., PyTorch, OpenCV, transformer-based models)

• Ideally experience with cloud environments or distributed systems

• Interest in data-driven, scientific, and model-based analysis approaches

• Independent, analytical, and structured working styl

Desired Skills: