Opportunities
At CANN2ONET, we’re excited to expand our team and welcome passionate individuals dedicated to addressing the challenges of nitrous oxide emissions in agriculture. Whether you’re a researcher, a project coordinator, or someone with a background in environmental science, we offer a collaborative environment where your expertise can make a meaningful impact. Join us in our mission to innovate and implement sustainable practices that benefit both the environment and the agricultural community. Explore our current openings and become part of a network committed to driving positive change across Canada!
Job Postings
Post-Doctoral Fellowship in Atmospheric Sciences
Position Description: The Post-Doctoral Fellow (PDF) will participate in an exciting multidisciplinary research project supported by NSERC/SSHRC that aims to quantify N2O emissions from key agricultural regions in Canada and determine metrics that can aid growers in achieving emission reduction targets. Specifically, the PDF will participate in the establishment of the first regional “tall tower” observatory in Yorkton, Saskatchewan, where mixing ratio measurements of N2O, CO, and CO2 will be conducted. The PDF will use mixing ratio data from the tall tower and apply state-of-the-art atmospheric inverse modeling to determine regional budgets of N2O and CO2 and evaluate sink/source attribution. The PDF will be supervised by and work in close collaboration with Drs. Claudia Wagner-Riddle (University of Guelph), Tim Griffis (University of Minnesota), and Henrique Carvalho (University of Manitoba). The PDF will have the opportunity to mentor graduate and undergraduate students. Professional development activities including participation in conferences and publication of research results will be supported. Anticipated start is in the Fall of 2024.
Requirements: Ph.D. degree with a focus in atmospheric sciences, micrometeorology, or related discipline. Experience with gas analyzers and instrumentation used in micrometeorological research and atmospheric inverse models are desired. The successful candidate must demonstrate the ability to independently lead research projects and publish in peer-review journals.
Support: Funding for this position is available for 4 years and include benefits in addition to salary.
Contact Information: For further inquiries about this opportunity or to apply for this position please contact Dr. Henrique Carvalho (henrique.carvalho@umanitoba.ca).
Application: Candidates must submit a CV, cover letter, and two professional reference contacts.
| Photo Credit: Tim Griffis |
Post Doctoral Position (PDF)
Modelling Agricultural Management Practice Across Canada
Position Description: The postdoctoral researcher will contribute to the development of a ‘roadmap’ for emission reduction based on regional scaling-up of beneficial management practices across the major grain and oilseed growing areas in Canada. Specifically, the postdoctoral researcher will participate in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline datasets of fertilizer use across major
growing regions, drawing from existing surveys of fertilizer management practices and ‘4R’ nutrient stewardship. These objectives will help to expand on existing efforts to model N2O emissions reduction.
The initial appointment will be for one year, with an extension for a second year based on performance. Depending on project needs, the position could potentially be extended further (up to four years).
Requirements: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related subject received within the last 5 years. Applicants from other disciplines, including the quantitative social sciences, computer science, or engineering, with strong interest and commitment to learning about agroecological systems and agricultural management practices are encouraged to apply. We seek a candidate with experience working with quantitative and/or spatial data, including familiarity with programming environments such as R or Python. Experience with multivariate statistics, machine
learning, and/or remote sensing would be an asset.
Contact Information: Interested applicants should contact Dr. Graham MacDonald (Department of Geography) at graham.macdonald@mcgill.ca. You may include a CV and cover letter outlining interests and experience relevant to the project. Review of applications will begin immediately and continue until the position is filled. Formal application will be through the McGill Careers online system.
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages
members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.
