Projeto PRR

Sumário

The prospective employee is expected to work as an Assistant Professor in the field of Intelligent Health Data Analysis. The employee is expected to work in research and teaching activities at the Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS) of the Faculty of Medicine of the University of Porto. In particular, the employee is expected to work on data quality, data analysis, machine learning and data visualization. The employee is expected to have knowledge and experience in doing research and teaching in these fields. In addition, the employee is expected to have a Data Science and/or Engineering background and knowledge and experience in the analysis of health services real-world clinical data, (e.g. electronic health records).MEDCIDS has a relevant research and teaching track record in the Intelligent Health Data Analysis field. This is indicated by (i) the high number of studies published by its members involving machine learning and other intelligent data analysis methodologies applied to health data, (ii) the participation of some of its members in funded scientific projects in intelligent health data analysis, (iii) and by the participation in technology transfer and services provision activities (involving public, private, national or international entities). This research activity is done in close connection with the Associate Laboratory RISE (Health Research Network). In fact, Thematic Line 4 of RISE has, among its main scientific fields, those of big data, artificial intelligence, patient-centred technologies, medical informatics and digital transformation.MEDCIDS has also displayed a vibrant teaching activity in the Intelligent Health Data Analysis field, with contents on data analysis, machine learning and knowledge extraction from real-world data being one of the cornerstones of the Health Data Science Doctoral Programme. In addition, these contents are taught in the Doctoral Programme in Clinical and Health Services Research and in the Master’s Degree in Medical Informatics (all these programmes are hosted at MEDCIDS). Topics on Intelligent Health Data Analysis will also be of key importance to the BSc course in Digital Health in Biomedical Innovation, in particular to its branch of Data Analysis and Artificial Intelligence. Of note, several of the partners of this BSc course correspond to public or private entities with whom MEDCIDS has collaborated in technology transfer or service provision activities. Given this background and the need to further develop research and teaching activities in this field, hiring an Assistant Professor in the Intelligent Health Data Analysis area is necessary.