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PhD Scholarship in Advanced Machine Learning for Critical Events Modelling and Detection for High-risk Patients

A PhD scholarship in signal processing is available at Technical University of Denmark. Potential candidates should apply before August 20, 2019.

Are you interested in contributing to save risk patients from life threatening complications using advance methods in machine learning, and biomedical signal processing?

DTU Health Tech invites applicants for a 3-years PhD scholarship as part of the Wireless Assessment of Respiratory and circulatory Distress (WARD) project supported by the Danish Innovation Foundation. WARD aims at designing and implementing a novel and fully automatic clinical support system for major surgery patients and acute medical disease patients, which potentially will be used by all major university hospitals in Denmark.

As a member of the WARD research project team you will contribute in defining and developing next generation monitoring and interpretation clinical support system for highly reducing serious complications for high-risk patients.

Miniature devices on each patient will measure the most important physiological events, and there is a need for inventing biomedical signal processing of modalities and advanced machine learning for robust interpretation of abnormal micro- and macro events and diseases states. Focus on design of feature fusion and decision fusion in connection with advanced machine learning will be important to ensure robust estimation of complications in high-risk patients.

Efficient interdisciplinary research between technical and medical experts is the key to success, because the fully automatic clinical support system can only be realized based on intelligent machine learning modelling of uniquely defined medical modelling and annotation of critical events.

The successful candidate will focus on: Candidates may apply prior to obtaining their master’s degree but cannot begin before having received it.


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