Apply artificial intelligence and machine learning to anaerobic digestion research at Toronto Metropolitan University in Canada. Integrate modelling approaches for environmental engineering.
This Postdoctoral Researcher position focuses on advancing anaerobic digestion processes through artificial intelligence and mechanistic modelling. The work emphasizes machine learning applications, anaerobic digestion optimization, and performance evaluation. Experience integrating data-driven and mechanistic models, including ADM1 or related models, is considered a solid asset.
Key Responsibilities: Apply machine learning to environmental engineering research
Advance anaerobic digestion process research
Optimize anaerobic digestion processes and evaluate performance




Develop or apply mechanistic digestion models
Integrate data-driven and mechanistic modelling approaches
Requirements: PhD in Civil Engineering or Environmental Engineering
PhD in a closely related field considered
Strong research background and scientific publication record
Excellent analytical, programming, and communication skills
Candidates currently based in Canada preferred
Bring AI, programming, and mechanistic modelling expertise to anaerobic digestion research at Toronto Metropolitan University.

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📌 AI Anaerobic Digestion Researcher (Ontario)
🏢 Toronto Metropolitan University
📍 Ontario