Teaching
Offered Master thesis Supervision!

Offered Master thesis Supervision!

Neurophysiological Validation of the GAUDIE Database on Emotional Speech Sequences

The project comprises the neurophysiological validation of a published database for emotional speech sequences in a sample of 30 people. Neurophysiological data, including electroencephalography (EEG), electrocardiography (ECG), and electrodermal activity (EDA), will be collected to validate the database.

The project includes:

  1. Data Collection
  2. Neurophysiological Signal Analysis
  3. Data Evaluation using:
    • Descriptive statistics
    • Inferential statistics
    • Machine learning methods

Learn more about the GAUDIE Database: GAUDIE Database Article.

Ideal Candidate

The ideal candidate will exhibit the following characteristics:

  • Enrolled as a student at a college or university
  • The capacity to work independently with commitment and enthusiasm
  • Excellent skills in both written and spoken English
  • The ability to communicate effectively and work collaboratively in a team setting
  • Good programming skills in Python

Preferred Qualifications:

  • Initial experience with experimental programming and neurophysiological measurement methods
  • Knowledge of experimental design and statistical methods
  • Experience in the field of signal processing and machine learning

Expected Timeline

The project is expected to last 6 months.

Support and Resources

Students will receive:

  • Lab equipment and software for the project
  • Regular meetings to discuss progress, address challenges, and refine the research direction

How to Apply

Interested students should submit the following documents:

  • CV/Resume: Highlight relevant coursework, experience, and skills.
  • Statement of Motivation (no more than 2 pages): Explain your motivation for pursuing this thesis topic and any initial ideas you may have.
  • Academic Transcript: Showing relevant courses and grades.

Application Submission

Please send your application to:
Katharina Lingelbach
Fraunhofer Institute for Industrial Engineering IAO
Nobelstrasse 12
70569 Stuttgart
Email: Katharina.lingelbach@iao.fraunhofer.de

Shortlisted candidates will be invited for an interview to discuss the project in more detail.

Contact Information

For further inquiries, please contact:
Katharina Lingelbach
Fraunhofer Institute for Industrial Engineering IAO
Email: Katharina.lingelbach@iao.fraunhofer.de