There are exciting opportunities to join the Signal and System Theory Group and become part of our team. You can be actively involved in the research projects of the Signal and System Theory Group and also support some of its teaching activities. We offer a stimulating work environment in an international team.

We are currently seeking:

Student assistant (SHK/WHB) for 9.5 hours/week (Bachelor’s or Master’s students)

Machine learning and data science for seizure prediction

 

Epilepsy affects more than 50 million people in the world, with around 2.7 million people affected in Germany alone and is the most frequent chronic neurological condition in children. Epilepsy presents with abnormal brain activity known as seizures, which can not only cause unconsciousness, physical injury, and cognitive disability but can also lead to sudden death. The unpredictability of these seizures stands out as the most crucial aspect highlighted by people living with epilepsy.

You will be involved in answering various research questions and implementing one or more of the following tasks:

• Development of machine learning algorithms for seizure prediction

• Applying Explainable AI-based methods

• Real-time processing of developed algorithms

• Live data acquisition and data analysis from a wearable sensor

This work will be carried out in a collaboration with the Harvard Medical School and Boston Children’s Hospital.

Impact:

An effective seizure prediction has the potential to save lives by enabling improved treatment of seizures and improve the quality of life of millions of people.

Prerequisites:

Knowledge of machine learning/data science/statistical signal processing, and programming experience with Python.

If you are interested and would like to apply, or just find out more details, please contact Dr.-Ing. Tanuj Hasija.