The Université de Sherbrooke is seeking candidates to fill a professorship in the field of numerical health. This is a regular full-time position.
The research chair in numerical health is supported by the ministère de l’Économie et de l’Innovation du Gouvernement du Québec. It is part of the Government strategy, described in the Québec 2019-2020 budget and aims to promote technologies supporting Artificial intelligence, allowing Université de Sherbrooke to recruit the best world researchers in this field. This chair will benefit from an annual funding of $200,000, for 5 years.
The candidates sought are researchers recognized by their peers as having potential or for their achievements in their field. The candidates must propose a promising, innovative research program of the highest quality, while demonstrating interest and competency in teaching.
Hands-on experience on healthcare field is an asset.
The successful candidate will be selected by a selection committee according to the following criteria:
- Scientific relevance of the proposal.
- Structuring impact of the proposal with respect to the research themes of the Université de Sherbrooke and its programs.
- Scientific and professional expertise in artificial intelligence and numerical health applied to medicine, more specifically in knowledge representation, data mining and machine learning applied to health data. The candidate must demonstrate significant contributions in at least one of the following fields: predictive medicine (predicting an illness and its progression); precision medicine (personalized treatment recommendations); decision aids (diagnostic and therapeutic); prevention (predicting epidemics, pharmacovigilance, health trajectories).
- Expertise in Big Data or ontologies with applications in medicine will be considered an asset
PRINCIPAL CHALLENGES AND DUTIES
- Teach at all three university levels.
- Supervise graduate and doctoral students.
- Develop fundamental and applied research activities.
- Take part in university life.
- Contribute to community service.
- Hold a doctorate in a discipline deemed relevant.
- Have a marked interest in university research, pedagogy and teaching as well for development and innovation.
- Demonstrate good ability to supervise graduate students.
- Have a publication record in peer-reviewed journals of international standing, as well as in first-rate international conference proceedings, testifying to an excellent research record
- Demonstrate skills in establishing and maintaining good interpersonal relations, a sense of collaboration and teamwork skills.
- Demonstrate qualities of leadership and initiative as well as outstanding skills in communicating and effectively and harmoniously interacting with various internal and external partners.
- Must be able to teach in French or be able to do so in short order.
- Experience in interdisciplinary, multidisciplinary, or transdisciplinary research, as well as in knowledge transfer, will be considered an asset.