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.
UNIVERSITY’S COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION
The University is committed to making a priority of these values as strategic factors of excellence. This commitment is stated in the University’s Plan d’action d’équité pour les programmes interorganismes (2017–2022). The University invites all qualified individuals to apply, in particular, women, members of visible and ethnic minorities, Aboriginal peoples, and persons with disabilities under the Programme d’accès à l’égalité en emploi (PAEE).
Moreover, the selection tools can be adapted, with an assurance of complete confidentiality, to the needs of persons with disabilities who so request. The University also encourages individuals of all sexual orientations and gender identities to apply. Canadians and permanent residents will be given priority.
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.
Check our website for the full description of all our job opportunities, then submit your application online. For this opportunity, see offer 04058.
The deadline for submiting aplications is 5 p.m. on Monday, June, 1st, 2020.
We encourage you to submit your application electronically by clicking on « POSTULER ». Please attach:
1) Your curriculum vitae;
2) A motivational letter;
3) A research-program proposal (maximum of 5 pages) that should, in particular, broach the main axes in relationship to your past targeted objectives, brief program of activities, integration in the Faculty of medicine and health sciences and the Faculty of Sciences, training of highly qualified personnel who will be called on to take part, funding options and networking;
4) Reprints of your most relevant recent contributions.
In addition, please have three letters of recommendation sent directly by the signatories to the following address:
Human Ressources Department
Job posting 04058
Université de Sherbrooke
3001, 12e Avenue Nord
Sherbrooke (Québec) J1H 5N4
E-mail : caroline.duchesne@USherbrooke.ca