Postdoctoral Researcher - Watershed Nutrient Modeling Under Changing Climate
University of Alberta
- Edmonton, AB
- Permanent
- Full-time
- Enhance the current dataset at the WSML by collection, compilation, preprocessing, and reformatting for modeling purposes.
- Developing, testing, and integrating large-scale watershed water quantity and quality data and models with Machine Learning and Artificial Intelligence approaches for agricultural watersheds of western Canada (AWWC).
- Scenario analysis for understanding key processes driving nutrient loads, transport, and fate across AWWC.
- Collaboration with current PhD students at the WSML who are engaged in the research within the broader project framework.
- Develop independent and collaborative publications with the WSML.
- PhD degree in Civil and Environmental Engineering, Water Resources and Agricultural Engineering, Earth and Environmental Sciences or a closely related fields.
- Proficient knowledge and understanding of watershed hydrology, soil-plant-water relations, and watershed water quantity/quality processes.
- A strong prior experience working with (and applying) Machine Learning and Artificial Intelligence approaches in hydrological modelling and watershed studies.
- A prior experience working with process-based models such as Soil and Water Assessment Tool (SWAT) is a great asset.
- A strong background in programming: any programming languages suitable for ML/AI modelling and application is fundamental. Any experience working with the source code of the SWAT model in a Fortran environment is a great asset.
- Proficient knowledge of scripting in R (preferred) or similar tools for large data processing required.
- Strong ability to work both independently and collaboratively, prioritize, adapt to rapidly shifting priorities and manage research projects from start to scientific publication is required.
- Superior written, communication, and interpersonal skills for effective and efficient development of scientific publications and interaction with other researchers in the lab and in public.
- Strong ability to work in a diverse, interdisciplinary, and multicultural working environment.