PhD Research Fellow
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The position is part of an interdisciplinary research project with partners in Medicine, Ethics, Law, and Computer Science The goal of RESPIRE is to develop machine learning (ML) solutions for sleep-related respiratory disorders that are (1) explainable to different users, including patients, health professionals, and ML developers, and (2) responsible with respect ethical and legal considerations.
The main tasks are:
• Using recent consumer electronics and ML to analyze the sleep monitoring data wrt. breathing disorders.
• Develop explainable ML solutions.
• Contribute to the development of a data warehouse solution for the data collected and analyzed in the project.
Qualification:
Master’s degree or equivalent in Informatics/Computer Science
experience and knowledge with at least two of the following challenges:
- ML for time-series data
- Application of ML in the medical domain
- Interpretable ML or explainable AI
- Advanced data management solutions (data warehouse solutions)