Bachelor and Master Theses

In the context of the European International project RENEW, at MDU we investigate the creation of a digital twin for a specific cardiac affection.

Using GenAI, we intend to both synthesize suitable data to overcome lack of publicly available information, perform various actions on the synthesized data and produce a generic digital twin based on this.

Moreover, we are also looking into tiny federated learning techniques in order to address potential constraints, when the models run and collect data for continuous learning activities on personal / wearable devices.

We expect that a certain interface is developed to support the novel tehniques and the deployment within a larger RENEW system.

Academic Background

1. A solid understanding of digital systems engineering principles.

2. Basic knowledge of machine learning, hardware / software embedded system implementation. 

3. Prior coursework on embedded systems, machine learning / AI.

4. Proficiency in English, both spoken and written.

Technical Skills - points of merit

1. Experience with programming languages such as Python.

2. Familiarity with tools such as Matlab and Simulink.