Opportunities

 We are looking to hire at the PDF or Research Associate/Scientist level, with a potential cross appointment as a Research Assistant Professor in the David R. Cheriton School of Computer Science at the University of Waterloo. This individual will be a part of the core Computer Science team and will collaborate closely with domain scientists.

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The successful candidate has the ability to engage in all aspects of the data science life cycle: understanding and formulation of specific problems and tasks from under-specified goals; data preparation, cleaning, profiling, and manipulation; the development of statistical and machine-learned models, as appropriate; validation and error analysis; final deployment in end-user applications.

The ideal candidate has expertise in at least some of the following: big data infrastructure (e.g. Hadoop, Spark), relational databases, data science platforms and toolkits (e.g. Jupyter notebooks, Pandas, etc.), machine learning (including but not limited to neural networks). Additional experience that would be beneficial includes familiarity with Internet of Things (IoT) technology, remote sensing, distributed sensor networks, and work with time series data. Specific domain knowledge in hydrology and related disciplines is not necessary, but willingness to engage with the water science community is required.

The candidate will work under the supervision of Professor Jimmy Lin. It is expected that the candidate will collaborate closely with domain scientists in the context of the GWF project, as well as develop a complementary but independent research program. Performance will be assessed annually, and funding for this position is available for up to three years.

Eligibility

Applicants must have a PhD in computer science and/or a relevant discipline. They must demonstrate strong quantitative and analytical skills, and have a track record of research productivity, as evidenced by peer-reviewed publications. Strong written and oral communication skills in English are required, and the ability to communicate across disciplinary boundaries is highly desired. Applicants must be able to work independently as well as part of a multidisciplinary team, including external partners and practitioners.

Application instructions

Interested applicants should submit a cover letter, and state their motivation and professional expectations. In addition, a curriculum vitae, academic transcripts and contact information of three references are required. All documentation submitted must be assembled in a single pdf file and sent to  gwf-uw@uwaterloo.ca with PDF_Core_Data_GWF_YourName in the subject line.

Applications will be accepted immediately and reviewed beginning Nov 15, 2017. The position will remain open until filled. We thank all applicants for their interest, however, only candidates selected for an interview will be contacted.

Two postdoctoral scientist (PDS) positions are available in the ecohydrology research group at the University of Waterloo. The positions are 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.

The two PDS will focus on the theoretical and numerical modeling of biogeochemical and ecosystem processes in catchments and lakes. Of particular interest will be to link local-scale reactive transformations and ecological interactions to regional-scale hydrological and biogeochemical fluxes. The PDS will work within a multidisciplinary team with significant strengths in ecohydrology, limnology, environmental (bio)geochemistry, aquatic ecology, high-performance computing, information systems and water governance.

One researcher (PDS1) will use multicomponent reactive transport modeling to quantify transformations and exchanges of carbon, nutrients and metals at reactive interfaces along the terrestrial water cycle (rhizosphere, capillary fringe, riparian soils, streambed and reservoir sediments). The other researcher (PDS2) will apply deductive and inductive modeling approaches to simulate and forecast algal blooms along the margins of large lakes. The PDS will be expected to interface with colleagues carrying out observational studies, and to interact on a regular basis with external partners and practitioners.

Eligibility 

Applicants must have a PhD in a relevant natural science or engineering field, and have a track record of research productivity, including peer-reviewed publications. Preference will be given to applicants who have demonstrated experience in mathematical modeling, programming and numerical analysis. Experience with relevant software and modeling platforms, high performance computing and model-data assimilation techniques is desirable, but not necessary.

The PDS will work under the supervision of Professor Philippe Van Cappellen and their performance will be assessed annually. Funding for the positions is available for up to three years.

Application instructions

Interested applicants should submit a cover letter in which they identify the position (PDS1 or PDS2) for which they wish to be considered, and state their motivation and professional expectations. In addition, a curriculum vitae, academic transcripts and contact information of three references are required. All documentation submitted must be assembled in a single pdf file and sent to gwf-uw@uwaterloo.ca with PDSMOD-GWF-YourName in the subject line.

Applications will be accepted immediately and reviewed beginning Aug 21, 2017. The positions will remain open until filled. We thank all applicants for their interest, however, only candidates selected for an interview will be contacted.

Opportunity: Field testing of GNSS reflectometer for snow depth and surface soil moisture measurements

Start date: Winter/ spring 2018

A Master’s of Science position is available in the ‘Transformative sensor Technologies and Smart Watersheds for Canadian Water Futures’ project (TTSW) at the University of Waterloo. 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.

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Water supply and water quality are two critical concerns relevant to water resources not only in Canada, but globally in a warming climate. Through collaboration with industrial partners, this project works towards the design, development, and deployment of remote sensing technologies that will better prepare end users to respond to the threats of changing water futures.

Global Navigation Satellite System Reflectometry has shown potential for the retrieval of water and land surface properties including soil moisture and snow depth. The surface reflected (passive) GPS signals measured onboard drones, aircrafts, or satellites are expected to revolutionize land/hydrology mapping. GNSS reflectometry (GNSS-R) will be used as a form of passive remote sensing that uses signals from GNSS satellites, most commonly GPS to correlate to the reflected signals from earth to characterize and measure several properties such as the dielectric properties of a frozen land or soli moisture content.

The successful student will collaborate with researchers and private industry in order to carry out field testing of a GNSS reflectometer as well as collect coincident field measurements.

Eligibility

A background in electrical engineering is required, with preference given to those who have remote sensing/ environmental science experience. Students are expected to have strong interests/background in electrical engineering concepts pertaining to radar basics and hands-on experience and testing. Majority of the testing will be performed on a quad-copter platform for the payload proof of concept and design.

The student will work under the supervision of Professor Armaghan Salehian from University of Waterloo's Mechanical and Mechatronics Engineering Department.

Application Instructions

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 salehian@uwaterloo.ca with MSC4-TTSW-YourName in the subject line. We thank all applicants for their interest, however, only selected candidates will be contacted.

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.

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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 (mhoekstra@uwaterloo.ca ). 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.

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.

More Information

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.

Eligibility

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.

Application Instructions

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.

Opportunity: Modeling of the winter soil biogeochemical processes

A postdoctoral Fellow (PDF) position is available in the “Winter Soil Processes in Transition” project at the University of Waterloo. The positions are 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. The winter soil processes project aims to advance the process-based understanding of the function of soil biogeochemical processes in cold region environments during the fall-winter and winter-spring transitions and during the non-growing season using a combination of data synthesis, laboratory, and computational approaches. The main tasks of the PDF will be conducting bioenergetics-based reactive transport modeling to model microbial and geochemical reaction systems under variable winter conditions and assess the effects of winter soil processes on belowground carbon and nutrient speciation, transformations and mobility.

Applicants must have a PhD in a relevant natural science or engineering field, and have a track record of research productivity, including peer-reviewed publications. Preference will be given to candidates with demonstrated skills and experience in numerical mathematical modeling, programming and numerical analysis in soil biogeochemistry and reactive transport modeling. The PDF will work within a multidisciplinary team with significant strengths in ecohydrology, environmental-(bio)geochemistry, microbiology, chemistry, hydrogeology and high-performance computing. Funding for the positions is available for up to two years. For further information regarding this position, or to submit an application, please contact Dr. Fereidoun Rezanezhad (frezanez@uwaterloo.ca).

Application Instructions

In your application email, please include “PDF-WSP-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 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

We invite applications for a potential MSc student to participate in a research project in the Ecohydrology Research Group starting September 2018. The goal of this project is to advance the high-resolution measurements of oxygen (O₂) in soil and sediments under varying environmental conditions to provide insight into the biogeochemical functioning of natural environments, ranging from terrestrial to aquatic settings. The main tasks of the MSc student will be conducting laboratory and field experiments. The MSc student will focus on the field validation and implementation of an in-house developed Multi Fiber Optode (MuFO) microsensor system to measure in real-time the dissolved O₂ concentrations in soils and sediments at selected field sites, including riparian areas and hyporheic zones. The student will be guided by Drs. Philippe Van Cappellen and Fereidoun Rezanezhad, and collaborators from multiple universities involved in this project. 

Eligibility 

Applicant must have specialization in biogeochemistry, hydrology, soil science, Environmental Engineering or a related field. Preference will be given to candidates with demonstrated skills and experience in experimental work in biogeochemistry and environmental sciences.

Application instructions

For further information regarding this position, or to submit an application, please contact Dr. Fereidoun Rezanezhad (frezanez@uwaterloo.ca). In your application email, please include “GWF-Sensor_yourname” in the subject line and attach a single PDF file that contains:

• Your motivation for applying to the position and your research interests
• Curriculum vitae
• Copy of transcript(s)
• Contact information for up to 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.

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.

Eligibility

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.

Application instructions

Applicants should send a CV and a statement of research experience (one page) to Kevin Lamb at kglamb@uwaterloo.ca, 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.