[Comp-neuro] PROFESSOR - Research Chair in eng. & neuromorphic computing for Artificial Intelligence (AI), Univ. Sherbrooke, Québec, Canada

Jean Rouat Jean.Rouat at USherbrooke.ca
Fri Mar 20 22:48:26 CET 2020


PROFESSOR - Research Chair in the field of engineering and neuromorphic computing for Artificial Intelligence (AI)
As part of the call for proposals for a MEI / UdeS Research Chair, the Faculty of Engineering of Université de Sherbrooke is seeking candidates to fill a professorship in the field of engineering and neuromorphic computation for artificial intelligence (AI). This is a regular full-time position. The recruited person will be attached to the department that best matches the candidate’s profile.

EXPERTISE
The expertise of the candidates must be related to the field of engineering and neuromorphic computation by neural networks with spikes (SNN) for the development of applications in artificial intelligence (AI) in fields such as cognition or the emulation of neural structures, allowing AI to manage conflicting situations, uncertainty and ambiguity.
The main challenge is to integrate into algorithms and systems, the flexibility and ability of living beings to learn unstructured stimuli with equivalent energy efficiency from the brain.
Applicants must propose a promising and innovative research program of the highest quality allowing the transfer of knowledge while demonstrating interest and competency in teaching.

REGARDING THE FACULTY OF ENGINEERING
For several years, the Faculty of Engineering of Université de Sherbrooke and its Department of Electrical Engineering and Computer Engineering occupy an enviable position in the fields of training and applied research by providing a friendly and collaborative environment, where discovery and initiative are strongly favored. In addition, the Faculty favors a rigorous and complete training of its students and it is recognized for its work-study coop program.
The Faculty of Engineering distinguishes itself from other Canadian universities in terms of technology transfer and its impact on society. It is relying on many interdisciplinary initiatives and emerging fields of research to further its long-term growth.

QUALIFICATIONS
- Hold a Ph.D. in science or engineering with a professional experience of at least 5 years;
- Have experience in interdisciplinary research as well as knowledge transfer;
- Have a strong interest in university teaching and pedagogy as well as in research, development and innovation;
- Demonstrate good teaching skills and a good ability to supervise graduate students.
- Have a record of publications in peer-reviewed journals of international level and technology transfer attesting to the excellence of the research activities.
- Demonstrate skills in establishing and maintaining good interpersonal relationships, a sense of collaboration and teamwork skills.
- Demonstrate outstanding leadership, initiative and excellent communication skills.
- Demonstrate the ability to interact effectively and harmoniously with a variety of internal and external partners.
- Capacity to teach in French or to reach this capacity in a short amount of time.
- Be a member of the OIQ (Ordre des ingénieurs du Québec) or have the required qualifications and commit to become member as soon as possible.

DATES and link
Anticipated start date: September 1, 2020.
The deadline for submitting applications is 5 p.m. on Monday, June 1, 2020.
More details at https://www.usherbrooke.ca/emplois/offre/no/04059

Jean Rouat, Prof.
NECOTIS, Computer and Electrical Eng. Dept., Univ. de Sherbrooke
jean.rouat at usherbrooke.ca<mailto:jean.rouat at usherbrooke.ca>

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