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One position concerns development of process-learning algorithms and tools that would be used to study the variations in execution for chronic care processes and their resulting outcomes, and propose clinical guideline improvements for specific patient contexts.
These algorithms would extend the work done by researchers from the University of Haifa on learning process model (LPM), which was developed for the domain of business processes; the extension to the domain of chronic disease management would need to adapt LPM for processes where there is no definitive goal at which the process terminates.
The second position concerns development of an ontology of patient context (including not only clinical context but also socio-demographic and technological context, and quality of data) and their effect on clinical decision-making. The research will also develop and evaluate a methodology for eliciting such information based on clinical guidelines.
The successful applicants must have a Masters degree in Information Systems or Computer Science. Medical or biological background is preferred. For the first PhD position, the candidate should have deep experience in machine learning. For the second PhD position, the candidate should have deep experience in one of the following areas: ontologies, medical informatics, information systems analysis and design, decision-support systems. The candidate should have good communicative skills in English, both in speaking and in writing. Moreover, candidates are expected to realize research ideas in terms of software in such a way that it can be used in industrial settings.
The work will be done in collaboration with researchers and developers from the University of Haifa, Israel, and other partners of the MobiGuide consortium.