Global Water Futures (GWF): Solutions to Water Threats in an Era of Global Change is a collaborative initiative between multiple Canadian universities and partner organizations funded, in part, through the Canada First Research Excellence Fund.
The program (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. Key research areas include predicting change in Cold Regions, developing Big Water data and support systems, and designing user solutions that focus on real world problems.
University of Waterloo researchers are looking to hire scientists and specialists as part of the latest projects funded by GWF. All positions are headquartered in Waterloo, Ontario, Canada.
Managing Urban Eutrophication Risks under Climate Change: An Integrated Modeling and Decision Support Framework
POSTDOCTORAL POSITION: URBAN EUTROPHICATION RISK UNDER CLIMATE CHANGE
We seek a postdoctoral fellow (PDF) to join a project at the University of Waterloo funded by the Global Water Futures program. The project’s focus is on eutrophication and algal growth in the littoral zone of the western basin of Lake Ontario (WLO) driven by excessive phosphorus (P) export from urbanized watersheds in the greater Toronto metropolitan area. The project will build on concepts and models from watershed science, limnology and economics to develop a science-based roadmap for mitigating eutrophication risks in the WLO. The main objectives are to (1) predict the fluxes and chemical speciation of P supplied to WLO ‘s littoral zone by stormwater outflow, (2) simulate the nearshore biogeochemical cycling of P and algal growth, (3) valuate the effects of eutrophication and algal growth on WLO’s nearshore recreational use, and (4) integrate the knowledge and modelling tools into a decision-support framework for adaptive urban stormwater management under possible future climate change and urbanization scenarios.
The PDF will focus on objective 4 and closely collaborate with other project team members in order to (1) derive semi-empirical relationships for upscaling urban P export from the sewershed scale to the entire Toronto metropolitan area, (ii) generate a set of future climate scenarios that can be imposed to the watershed and nearshore lake models developed in the project, (3) assess the cumulative effects of urbanization and climate change, and (4) analyse the cost-effectiveness of urban P reduction options (in particular, stormwater ponds and bioretention cells). The PDF will work with a large group of university researchers and stakeholders (municipalities, government agencies). Priority will be given to candidates with experience with, and interest in, hydrology, nutrient biogeochemistry, environmental modelling and climate projections. The position requires the ability to work collaboratively with researchers from diverse disciplines. The PDF will be supervised by Prof. Philippe Van Cappellen.
Eligibility: Applicants should hold a PhD degree in environmental sciences, engineering (water quality-focused fields with expertise in numerical modelling), ecohydrology, biogeochemistry, or a related discipline. The position is initially for one year, with the possibility of extending for two more years upon satisfactory performance.
Application Process: Interested candidates should submit a letter of application to Dr. Mahyar Shafii (email@example.com). The application should include (1) a cover letter outlining the interest and motivation to work in the project, plus relevant background and experience, (2) a curriculum vitae, (3) full academic transcripts, and (4) the names and contact information of three potential referees. Please submit the application as a single .pdf file. For further information about this position and the application process, please contact Dr. Shafii.
Closing date: Applications will be reviewed as they are received. The position will remain open until filled. Only those individuals selected for an interview will be contacted.
MASTERS STUDENT POSITIONS: BIOPHYSICAL MODELLING, MAPPING AND VALUATION OF CHANGES IN LAKE ONTARIO ECOSYSTEM SERVICES AFFECTED BY URBAN PHOSPHORUS EXPORT UNDER CLIMATE CHANGE
These MSc positions are related to a project recently funded by the Global Water Futures, ‘Managing Urban Eutrophication Risks under Climate Change: An Integrated Modelling and Decision Support Framework’ at the University of Waterloo. The project aims to develop a toolbox for assessing the vulnerability and exposure of Lake Ontario’s water quality to excessive phosphorus (P) export due to urbanization and climate change. The focus will be on eutrophication risks and Cladophora growth in the littoral zone of the Western basin of Lake Ontario (WLO) driven by urban P inputs from Ontario’s Golden Horseshoe, which includes the Greater Toronto Area.
Position #1: We are seeking a Master student to study how water quality changes, driven by urban P loads and frequency of algal blooms, affect recreational water use possibilities in Lake Ontario. The student will apply biophysical modelling and mapping tools to the littoral zone of the WLO and investigate how changes in ecosystem status are likely to affect recreational ecosystem services along the shoreline of WLO. This research is expected to contribute to Lake Ontario management actions by informing decision-makers (i) how changes in lake water quality are expected to affect valuable recreational ecosystem services, and (ii) to analyse cost-effectiveness of different management options for reducing urban P export.
Supervisors: Prof. Philippe Van Cappellen, Prof. Roy Brouwer, Dr. Rute Pinto
Eligibility: Applicants should hold a degree in environmental science, eco-hydrology, environmental geography, environmental or ecological economics, or a related discipline. The candidate should have good quantitative skills (for example in statistics or mathematical programming), as well as interest in spatial analysis of large datasets (for example using ArcGIS). Funding is available for two years.
Position #2: We are seeking a Master student to study the retrieval algorithm of Cladophora and Chl-a concentration utilizing remote sensing sensors to calibrate the developed algal growth model of western Lake Ontario. This research is a collaboration between Ecohydrology Lab at the University of Waterloo and ReSEC Lab at Wilfrid Laurier University. The research will contribute to assembling the suite of modeling and assessment tools that will link variable urban nutrient export fluxes to the ecological, social and economic impacts of eutrophication in the receiving surface waters.
Supervisors: Prof. Philippe Van Cappellen, Prof. Homa Kheyrollah Pour
Eligibility: Students interested should have a strong background and experience in one or a combination of Geography, Physics, Earth Science, Geomatics, and Biology. Strengths in programming, writing, statistical analysis, and the ability to work both independently and in a team are essential. The candidate should have good quantitative skills, Python programming as well as interest in spatial analysis of large datasets. Funding is available for two years.
Application Information Enquiries: For further information about position #1, please contact Dr. Rute Pinto (firstname.lastname@example.org). Further information about position #2 can be obtained by contacting Dr. Kheyrollah Pour (email@example.com).
Application Process: Interested candidates can submit a letter of application for position #1 to Dr. Rute Pinto (firstname.lastname@example.org), and for position #2 to Dr. Kheyrollah Pour (email@example.com). The letter of application should include (1) a cover letter outlining the student’s interest and motivation to work in the project, (2) relevant background and experience to increase eligibility, and (3) a full curriculum vitae.
Closing date: Applications will be reviewed as they are received. The positions will remain open until filled. Only those individuals selected for an interview will be contacted.
PhD Position in Transformative Technologies and Smart Watersheds Project
Opportunity: Application of novel airborne Ku and L-band SAR observations for watershed-scale seasonal snow mapping
Start date: 1 September 2020 or negotiable
A fully funded four-year PhD position is available in the ‘Transformative Sensor Technologies and Smart Watersheds for Canadian Water Futures’ project (TTSW) at the University of Waterloo. The position is part of Global Water Futures: Solutions to Water Threats in an Era of Global Change, a large collaborative initiative involving multiple Canadian universities and partner organizations. TTSW aims to develop, test, and employ advanced terrestrial, sub-orbital, and satellite remote sensing tools targeted to support research regarding the emerging spectrum of water related issues throughout cold regions.
The CryoSAR airborne radar system is a new and unique CFI-funded synthetic aperture radar (SAR) system specifically designed to make fully polarimetric and InSAR-capable observations of cold season environments at Ku and L-band frequencies. The successful PhD candidate will explore ways that CryoSAR observations of snow can be used to estimate the distributions of snow water equivalent (SWE) at watershed-scales. To achieve this, the candidate will be expected to develop remote sensing modelling approaches that focus on SWE retrievals from SAR backscatter and InSAR observations. The successful candidate will be encouraged to be an active participant in winter field campaigns in prairie and alpine environments to characterize SWE and snowpack microstructure properties. They will also have access to a dedicated high-performance GPU-based processing system capable of conducting end-to-end SAR processing and SWE retrieval modelling.
The successful candidate will work under the supervision of Dr. Richard Kelly, and will collaborate with researchers at partner organizations involved with the CryoSAR project.
Ideally, you will have a strong background in quantitative remote sensing science, preferably with an understanding of Earth system science processes, especially hydrological science. Ideally, you should hold a degree in geographical science, geophysics, Earth science or engineering. The candidate should have strong analytical capabilities with a high degree of comfort across coding environments such as C, Python, R, IDL, Matlab or other programming languages commonly used in remote sensing. Strong communication skills are essential and the candidate should be able to work both independently and within a group setting both in field environments and in the lab.
Full funding is available for four years, pending satisfactory progress through the PhD program.
Interested applicants should submit a cover letter stating their motivation and experience. In addition, a curriculum vitae, unofficial transcripts, and contact information for three references should be included in a single .pdf file and sent to Dr. Richard Kelly (firstname.lastname@example.org) with [PhD-TTSW-RichardKelly-2020] in the subject line.
We thank all applicants for their interest. However, only selected candidates will be contacted.
PhD Position in Transformative Technologies and Smart Watersheds Project
Opportunity: Estimation of snow water equivalent from airborne Ku and L-band SAR
Start date: 1 September 2019 or before
A fully funded four year PhD position is available in the ‘Transformative Sensor Technologies and Smart Watersheds for Canadian Water Futures’ project (TTSW) at the University of Waterloo. The position is part of Global Water Futures: Solutions to Water Threats in an Era of Global Change, a large collaborative initiative involving multiple Canadian universities and partner organizations. TTSW aims to develop, test, and employ advanced terrestrial, sub-orbital, and satellite remote sensing tools targeted to support research regarding the emerging spectrum of water-related issues throughout cold regions.
The objective of this PhD project will be to better quantify large-scale distributions of snow water equivalent (SWE) on land across various regions of Canada. In this project, a unique Ku and L-band SAR system called CryoSAR, under procurement through a successful CFI grant, will be deployed in different environments in Canada. The aim of this project is to demonstrate the capabilities of airborne imaging Ku and L-band SAR to create local to regional maps of SWE over several different domain types (tundra, prairie, maritime, alpine, and forested). The remote sensing science will focus on backscatter SAR signatures from these domains and explore InSAR opportunities. The candidate will have access to a unique facility with remote sensing data that are considered highly desirable for novel cold region observation studies.
The successful candidate will work under the supervision of Professor Richard Kelly through his Theoretical and Applied Earth Observation Science Lab, and will collaborate with researchers and private partner organizations for the airborne deployment of CryoSAR during dedicated field campaigns at selected sites from our network of instrumented observatories.
Ideally, the successful candidate will have a strong background in quantitative remote sensing science, preferably with an understanding of Earth system science processes, especially hydrological science. You should hold a degree in geographical science, geophysics, Earth science or engineering will be ideal. The candidate should have strong analytical capabilities with a high degree of comfort across coding environments such as C, Python, R, IDL, Matlab or other programming languages commonly used in remote sensing. Strong communication skills are essential and the candidate should be able to work both independently and within a group setting both in field environments and in the lab.
Full funding is available for four years, pending satisfactory progress through the PhD program.
Interested applicants should submit a cover letter stating their motivation and expectations. In addition, a curriculum vitae, unofficial transcripts, and contact information for three references should be included in a single .pdf file and sent to Dr. Richard Kelly with [PhD-TTSW-RichardKelly] in the subject line.
We thank all applicants for their interest, however, only selected candidates will be contacted.
Evaluation of Ice Models in Large Lakes Using Three Dimensional Coupled Hydrodynamic-Ice Models
Postdoctoral Fellowship in Applied Mathematics
Applications for a postdoctoral position in the Department of Applied Mathematics at the University of Waterloo are invited. The successful candidate will work on a Global Water Futures funded project on lake ice modelling. Duties will include coupling the Los Alamos sea ice model CICE to the MITgcm and conducting validation studies for Lake Erie.
Candidates should have a background in physical and computational modeling of fluid flows. Strong coding skills and experience with high-performance computing are essential. Experience with couple ice-ocean modelling is desirable. The successful candidate will have the opportunity to work with a multidisciplinary teams involved in other Global Water Futures projects and with government partners. A PhD in applied mathematics, physical oceanography, engineering or a related discipline is required upon appointment. The anticipated start date is January 7, 2019, but is flexible. The salary range for this position is $45,000-$50,000.
Applicants should send a CV and a statement of research experience (one page) to Kevin Lamb at email@example.com, and they should arrange to have two letters of recommendation sent to the same email address. We will review applications as they are received until the position is filled.
The University of Waterloo respects, appreciates and encourages diversity and is committed to accessibility for persons with disabilities. We welcome applications from all qualified individuals including women, members of visible minorities, Aboriginal peoples and persons with disabilities. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority in the recruitment process.
We appreciate all replies to this advertisement, but only applicants under consideration will be contacted.
Positions on Watershed Biogeochemical Data Synthesis and Modelling
Lake Futures seeks one graduate student (PhD) and one postdoctoral fellow (PDF) interested in research on the causes, impacts and mitigation of water quality issues in the Great Lakes and their watersheds. The successful candidates will work with a multidisciplinary team of researchers at the University of Waterloo, Wilfrid Laurier University, and the University of Windsor as well as with industry, government and community partners. Projects involve a combination of fieldwork, data synthesis and numerical modeling. We are specifically looking for candidates for the following sub-project:
Project 2: Lake Impacts and Responses (PhD positions)
The overall goal of this project is to advance the predictive understanding and modeling of the biogeochemical responses of large lake systems to changes in nutrient inputs and climate warming at temporal scales ranging from days to decades, with an emphasis on nutrient cycling and the management of algal blooms.
PhD 2.1 will work on nearshore-off shore exchange in Lake Erie, with a focus on modeling the plume from the Grand River, via high-resolution numerical simulations using a three-dimensional numerical model. Applicants are required to have a background in fluid dynamics and computational mathematics. Supervisor: Kevin Lamb
Project 5: Transdisciplinary Integration (PDF position)
The overall goal of this project is to enhance the integration across the WPs of Lake Futures in order to deliver knowledge-based decision support tools and socially acceptable, user-driven solutions.
The primary responsibility of PDF will be to create and apply basin-scale, coupled lake-watershed models to predict nutrient dynamics from headwaters to offshore waters. Specifically, PDF will (a) develop basin scale water quality models for watersheds draining into lakes Erie and Ontario using the HYPE modeling framework, (b) integrate the impacts of watershed and reservoir management on downstream water quality, (c) collaborate with another PDF to integrate the effect of past land use, (d) collaborate with lake modeler Dr. Bocaniov at UW to develop coupled watershed-lake models that can be used to predict the effect of current and future land use and climate on lake water quality.
This position will allow autonomy in aligning the project's broad goals with the interests of the successful applicant. Minimum qualifications are a PhD in hydrology, engineering, earth science, biogeochemistry, agriculture, or geography; and experience with GIS. Preferred qualifications include proficiency in handling large datasets (eg NETCDF files), computer modelling, and biogeochemistry. Initial appointment is for one year; second year is contingent upon funding and performance.
The applicants should have research experience in the fields corresponding to the particular position to which they are applying, as detailed above. They will work with a cross-university team of researchers and must be effective in a multidisciplinary, team-based environment. Excellent communication and organizational skills are required. To apply to any of the positions listed above, please submit a complete application as a single PDF document to Kirsten Grant (firstname.lastname@example.org), with the subject line: PositionName_your surname.
In your application, please include:
- The position to which you are applying (if you are interested in more than one position, please note that)
- A letter explaining your motivation for applying to the position and how your research interests align with the position(s)
- Curriculum vitae
- Copy of transcript(s)
- Contact information for 3 references
Closing date: Applications will be reviewed as they are received. The positions will remain open until filled.
We thank all applicants for their interest. However, only those individuals selected for an interview will be contacted.
The University of Waterloo encourages applications from all qualified individuals, members of visible minorities, native peoples, and people with disabilities.