Postdoctoral position in Transformative Sensor Technologies and Smart Watersheds

University of Waterloo/Global Water Futures
Waterloo, ON, Canada
Position Type: 
Postdoc
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified
Degree Required: 
Doctorate
Apply By: 
ASAP

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Aa of Global Change is a collaborative initiative between multiple Canadian universities and partner organizations. The research program is led by the University of Saskatchewan and is funded in part by a $77.8-million grant from the Canada First Excellence Research Fund. GWF aims to deliver risk management solutions for water resources and services - informed by leading edge water science and supported by innovative decision-making tools - in Canada and throughout the cold regions of the world.

More information

The information and knowledge required to understand and adapt to changing water futures within Canada’s diverse landscape will be founded on data collected within the natural environment at both a scale and degree of complexity that is unprecedented. Technology associated with sensors, data collection platforms, communication pathways and data processing is advancing rapidly and promises to provide the core tools required to assemble the data streams upon which future water decisions will be based. Appropriate integration and delivery of data from orbit-based platforms, low-elevation systems (drones) and terrestrial sensor networks represents a major challenge that will require the collaborative skills of a wide range of disciplines.

To facilitate the interdisciplinary research required to address this grand challenge, this project will establish a network of “smart” observatories at different geographic and climatic settings at a pan-Canadian scale. These observatories will support the development of novel monitoring strategies for both physical and ecological systems, provide natural settings to test emerging sensors and data logging systems, act as “ground truth” points for airborne and remote sensing systems and deliver dense, real time data streams for the development of data management and visualization tools. TTSW aims to develop, test, and employ advanced terrestrial, sub-orbital, and satellite remote sensing tools connected through “smart” watershed networks. These technologies are targeted to support research regarding the emerging spectrum of water related issues throughout cold regions.

Eligibility

Applicants must have specialization in hydrology/hydrogeology or a related field with experience in performing field and laboratory technical duties, including operation of state-of-the-art environmental technologies. Preference will be given to candidates with demonstrated skills and experience in experimental work in environmental sciences, or a related field.

Responsibilities

Funding for the position is available for three years. During the course of the three years of the project, the PDF, in concert with the key end user and partner team, will evaluate the current sensor networks, data logging platforms and transmission systems to initiate the process of testing and integrating emerging technology to optimize the nature and form of the data, its collection and communication. The PDF will work under the supervision of professor David Rudolph and will collaborate with researchers and students, as well as government and private partner organizations in order to implement and manage these observatories and incorporate the emerging approaches.

Application instructions

Send your application to Marie Hoekstra ( ). Please include “PDF1-TTSW-YourName” in the subject line and attach a single PDF file that contains:

  • A cover letter stating your motivation for applying to this position and your research interests
  • Curriculum vitae
  • Copy of unofficial transcripts
  • Contact information for up to three references

Closing date: Applications will be reviewed as they are received. The position will remain open until filled. We thank all applicants for their interest, however, only those individuals selected for an interview will be contacted.