Bachelor Thesis
vor 5 Monaten
Bachelor Thesis / Master Thesis - Interference Detection for TDoA Localization Systems using Machine Learning Methods
**You are interested in combining research and practices and would like to develop further in the field of localization systems?**
**Then have a look at our offer**
What you will do
- You conduct literature research on machine learning methods like kNN, random forests, and support vector machines.
- You implement an interference model into the existing simulation environment.
- You evaluate the effect of the implemented interference model on the localization accuracy.
- You conduct feature engineering and training of classification models to detect and classify interference patterns.
- You carry out real-world measurements in the mentioned testbed to verify the developed classification methods.
What you bring to the table
- You are currently studying electrical engineering, information technology, or something similar.
- You are interested in machine learning and localization.
- You have first experience in programming, preferably Python.
What you can expect
- **Flexible** working hours
- **Open** and **friendly teamwork**:
- **Varied** tasks with room for **creativity**:
- Exciting **seminars **and **events**:
- **Networking** with scientists
- **Active contribution** in applied research
- **Interesting** and **innovative** projects
- **Mentoring program** »josephine®« for talented female students
Weekly working hours are determined by agreement. You can start from now on (as a student assistant from **10** to **20** hours a week or as an intern for a period of at least three months). You can reduce your hours before exams and increase them during semester breaks. You can flexibly determine the working days. After your studies, you have the option of working with us full or part time.
Interested?
Fraunhofer-Institute for Integrated Circuits IIS
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