|From||Piyush Jain <email@example.com>|
|Date||Wed, 19 Dec 2018 15:16:07 -0700|
Postdoctoral Fellow in fire weather prediction
The Wildfire Research group at the University of Alberta, part of the The Canadian Partnership for Wildland Fire Science (Canada Wildfire - https://www.canadawildfire.org/), seeks a postdoctoral research scientist to develop machine learning approaches to wildfire prediction with a specific focus on developing an early warning system based on forecasting fire weather. The position is based in Edmonton, Alberta. Initial funding for the position is for two years.
The candidate should have a PhD in computer science, statistics, atmospheric sciences, physics or a related discipline and have experience applying machine learning methods to spatio-temporal datasets.
In addition, experience with any of the following is desirable:
Computer vision, Neural networks, Deep Learning and time series forecasting methods
Analyzing and manipulating large datasets from weather or climate models
Python programming language
Open source machine learning libraries (eg. Tensorflow, pyTorch, Theano, Keras or scikit-learn).
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.
To apply for the position, please forward your resume, cover letter and a list of three references to:
751 General Services Building
CANADA T6G 2H1
Phone: 780 248-2033
The position will be filled as soon as a suitable candidate is found.
The University of Alberta offers appointments on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities and Aboriginal persons.
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