Master Thesis: Machine Learning-Based Detection of Cognitive Load and Motion Sickness Using EEG (f/m/x)

Becoming part of Mercedes-Benz means finding the area of responsibility in which you can develop your individual talents. It means giving your best in a global automotive company that aims to build the most desirable cars in the world. You will be supported by visionary colleagues who share your pioneering spirit. Together for excellence.

Data is our DNA, technology is our passion. As data virtuosos in the Mercedes-Benz Group, we set data and technology in motion by orchestrating product data to create the ultimate digital and virtual luxury experience around Mercedes-Benz vehicles. With a pioneering spirit, expertise, and passion, we turn data into data experiences and revolutionize the world of data in the vehicle - whether with the digital twin, in product data management or in virtual engineering.

Become part of our team:

Our team has many years of know-how in the areas of mobile apps, 3D visualization, computer vision, augmented and virtual reality. With creativity, our specialists design sophisticated mixed reality solutions from prototype to market-ready product. In the In-Car XR division, innovative projects for the use of mixed reality in vehicles are developed and tested. Here, for example, we deal with questions such as how interactions for use while driving should be designed and how motion sickness can be mitigated.

Your tasks in detail

• · Conduct a comprehensive scientific literature review on the state-of-the-art research in Machine Learning-based cognitive load and motion sickness detection using Brain-Computer Interfaces (BCIs)

  · Develop a data processing pipeline and/or experimental setup for detecting cognitive load and motion sickness using BCI and physiological signals

  · Implement and test machine learning models to analyze EEG measurements and detect relevant cognitive and physiological states.

  · Evaluate the system using scientific methods

  · Document your procedures and findings in your master's thesis and contribute to a scientific publication

Qualifications

· Ongoing Master's degree in Computer Science, Artificial Intelligence, Neuroscience, Human-Computer Interaction, or a related field

· Strong knowledge of Machine Learning, particularly in the context of EEG signal processing

· Basic experience with Brain-Computer Interfaces (BCIs) and physiological signal processing

· Familiarity with immersive technologies (VR/AR/MR) and possibly head-mounted displays

· Initial experience with human cognition research, cognitive load assessment, or motion sickness is an advantage

· Ideally, you have experience in scientific research and conducting experimental studies

· You are highly motivated and interested in familiarizing yourself with new technologies and topics

· You impress with your strong communication and teamwork skills

· Proficiency in written and spoken German or English

· Having a class B driver's license is an advantage

Would you like to work on large innovative projects and move the digital vehicle world with us? Then we look forward to receiving your application!

It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, and relevant certificates. Mark your application documents as "relevant for this application" in the online form.
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-tech-motion@mercedes-benz.com
Please understand that we no longer accept paper applications and that there is no right to get your documents returned.