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Ocean Remote Sensing/Computer Vision

Position
Ocean Remote Sensing/Computer Vision

Employer

University of Toronto (Dept. of Physics)

Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE 3902 Unit 5 Collective Agreement.

This job is posted in accordance with the CUPE 3902 Unit 5 Collective Agreement.

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.

The successful candidate will complement and have the opportunity to collaborate with the Department’s vibrant Earth, Atmospheric and Planetary Physics group (https://www.physics.utoronto.ca/research/eapp), which we are a part of. The research setting at the University of Toronto is further enriched by the existence of the University‐wide Centre for Global Change Science, the School of the Environment, the Vector Institute for Artificial Intelligence (https://vectorinstitute.ai), a vibrant private sector dedicated to improving current machine learning techniques, and numerous initiatives to foster public-private partnerships. Computational facilities include SciNet, the most powerful university‐based advanced research computing facility in Canada. For more information about the Department of Physics, please visit us at http://www.physics.utoronto.ca/.

Homepage: https://sites.physics.utoronto.ca/nicolasgrisouard


Location
Toronto, Ontario, Canada

Sector
Academic

Relevant divisions
Geosciences Instrumentation and Data Systems (GI)
Nonlinear Processes in Geosciences (NP)
Ocean Sciences (OS)

Type
Full time

Level
Entry level

Salary
34000 - 45000 € / Year, More funds are currently being sought to increase salary and/or lendgth of contract

Required education
PhD

Application deadline
Open until the position is filled

Posted
23 September 2019

Job description

We are seeking to hire a post-doctoral fellow, who either has expertise in physical oceanography and is willing to learn about modern computer vision methods, or vice-versa. Modern physical oceanography relies heavily on satellite imagery. The future SWOT (Surface Water Ocean Topography) satellite altimeter (https://www.aviso.altimetry.fr/swot/) will measure ocean dynamics at an unprecedented resolution. Our community hopes that this new mission will trigger a giant leap in our fundamental understanding of the ocean, with impacts ranging from improving climate modelling to improving fisheries and coast guard operations.

This technological advance comes with unprecedented challenges from both theoretical and technical points of view. Of particular importance for SWOT is the issue of disentangling different dynamical processes (e.g., waves, eddies) whose signatures superpose in the expected data. Our group is currently investigating the possibility to adapt modern deep-learning-based computer vision methods to satellite images (further detail provided upon request). We expect the successful candidate to mine several datasets available online and locally in Toronto and to adapt an algorithm, initially developed for medical imaging applications, to the specific needs of satellite oceanography.

The successful candidate will complement and have the opportunity to collaborate with the Department’s vibrant Earth, Atmospheric and Planetary Physics group (https://www.physics.utoronto.ca/research/eapp), which we are a part of. The research setting at the University of Toronto is further enriched by the existence of the University‐wide Centre for Global Change Science, the School of the Environment, the Vector Institute for Artificial Intelligence (https://vectorinstitute.ai), a vibrant private sector dedicated to improving current machine learning techniques, and numerous initiatives to foster public-private partnerships. Computational facilities include SciNet, the most powerful university‐based advanced research computing facility in Canada. For more information about the Department of Physics, please visit us at http://www.physics.utoronto.ca/.

Term: 18 months secured to date at $50,000 CAD/year.

Expected start date: Whenever possible, available immediately.

Required qualifications: PhD in physical oceanography, in computer science, or in another relevant field.


How to apply

All individuals interested in this position must submit a cover letter, a current curriculum vitae that includes a current list of publications and presentations, the contact information of at least two people willing to write a letter of recommendation, and any additional documentation that the applicant deems relevant, to Nicolas Grisouard (nicolas.grisouard@utoronto.ca) with the subject line: Post-Doctoral Fellow: SWOT, by the closing date or until the position is filled.