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“If you are interested in the application of machine learning to predict extreme fire weather, this is the right opportunity for you. Be a part of the team of research and machine learning scientists and get mentored by some of the best minds in AI.”
-- Jubair Sheikh, Machine Learning Scientist and Mara Cairo, Product Owner, Advanced Technology
This is a paid internship that will be undertaken over a six-month period with the potential to be hired by our client afterwards (note: at the discretion of the client). The intern will be reporting to an Amii Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities. At the end of the engagement, it is expected that the work will be publishable to a respected conference or journal.
The Canadian Partnership for Wildland Fire Science (Canada Wildfire) was initiated in June 2009, through a Memorandum of Understanding signed by three founding partners: Alberta Agriculture and Forestry (AAF), University of Alberta School of Forest Science and Management (UofA), and the Canadian Forest Service (CFS) Northern Forestry Centre (NoFC). Originally known as the Western Partnership for Wildland Fire Science, it was formed to address priority research needs by creating a fire science hub that linked AAF and NoFC with researchers at the UofA and other Canadian and international research institutions.
In Canada, wildfires burn on average 2.5 million hectares annually. Three percent of these fires - that typically burn under extreme weather conditions - are responsible for 97 percent of the total area burned. Developing predictive tools for forecasting extreme fire weather is essential to manage fire and protect communities and other values on the landscape.
Canada Wildfire seeks a scientist to develop machine learning approaches to wildfire prediction with a specific focus on developing an early warning system based on forecasting extreme fire weather. This work could provide critical information in addition to the existing decision support tools used by fire managers to help better anticipate fire risk and allocate resources accordingly.
We’re looking for a talented and enthusiastic individual with solid knowledge of machine learning and experience working with spatio-temporal datasets.
One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
Besides gaining industry experience, additional perks include:
If this sounds like the opportunity you've been waiting for, don’t wait for the closing date to apply!
Send your resume and cover letter indicating why you think you'd be a fit for Amii by June 3 through the Indeed listing.
Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.
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