PhD in Artificial Intelligence for Water Sciences Université du Québec à Chicoutimi in Canada

A PhD position is available at Université du Québec à Chicoutimi (UQAC) in Artificial Intelligence for Water Sciences. The project sits at the intersection of computer science, artificial intelligence, and environmental science, with a focus on developing new AI methodologies to support scientific analysis and water resource management.

The position is supervised by Vincent Adombi, Assistant Professor at UQAC. The successful PhD candidate will contribute to research in areas such as machine learning, deep learning, natural language processing, advanced AI systems, software development, and water sciences. The post emphasizes methodological innovation and practical applications for hydro-informatics and water-related decision support.

Eligibility highlights include a completed or ongoing Master’s degree in artificial intelligence, computer science, applied mathematics, statistics, physics, engineering, or a related field. Applicants should have strong Python programming skills, a strong interest in AI method development, and demonstrate autonomy, creativity, initiative, critical thinking, and strong scientific communication skills.

Funding is available for the expected duration of the doctoral program. The announcement also mentions a collaborative research environment and access to advanced computing resources.

To apply, candidates should prepare a CV, statement of interest, academic transcripts, and optionally a portfolio of relevant projects such as GitHub repositories, personal projects, or publications. Applications should be sent directly to [email protected]. Only shortlisted candidates will be contacted for interview.