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 strong 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
- Robust 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.

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