Tenure track Faculty Position in the field of Artificial Intelligence

at  Universit Laval

The Department of Computer Science and Software Engineering at Université Laval invites applications for a tenior track position. The professor will be responsible for the following duties:
Teaching at all levels in computer science and software engineering.
Supervising students at all levels.
Conducting research activities to access grant programs.
Participating in administrative activities.
Selection criterias
To hold a Ph.D. in computer science or software engineering, or in a relevant discipline targeted by this position, or to be in the process of obtaining a Ph.D.
Relevance of scientific expertise and experience related to the field of artificial intelligence and machine learning, including but not limited to: statistical learning theories, generative models, large language models, reinforcement learning, optimization algorithms applied to deep neural networks, interpretability, explainability, or certification of machine learning models.
Proven abilities to conduct research activities.
Potential for the development of an autonomous and original research activity related to the AI field, complementing existing research capabilities at Université Laval.
Preference will be given to candidates with a strong research focus in the research domains identified above.
Demonstrated or potential aptitude for university teaching at all university levels, supervising students at all levels, and commitment to pedagogical innovation.
Demonstrated potential or commitment to community service.
Ability to communicate and integrate in the institution’s Francophone context (within a reasonable time frame).
Adequacy of professional potential with the key competencies required for the practice of the professorial role:
Analysis, synthesis, and judgement
Creativity and innovation
Communication skills
Interpersonal skills and open mindedness.
Team working skills
Autonomy and responsible attitude
Ethics and duty concerns
Training skills

Please refer the Job description for details