Available Positions & Opportunities
The Basu Lab at the University of Waterloo is looking to fill positions to quantify the impacts of past and current land use and land management activities on stream and lake water quality. The positions will be supervised by Professor Nandita Basu, and work as a part of a large collaborative team of researchers. See below for additional information on the specific position and requirements.
Postdoctoral Fellow/Data Scientist: Water Quality and Machine Learning
Are you passionate about leveraging the power of data to address critical environmental challenges? Are you skilled in machine learning and eager to apply your expertise to improve water quality? If so, we have an exciting opportunity for you! We are seeking a talented and motivated PDF/Data Scientist to join our team. You will play a pivotal role in developing innovative solutions for monitoring and analyzing water quality data. Your work will contribute to the development of intelligent systems and tools that facilitate data-driven decision-making and promote sustainable water management practices. This work is being done in collaboration with various stakeholders across the Great Lakes Basin, including Environment and Climate Change Canada, Conservation Authorities, and NGOs like the DataStream Initiative.
Download the pdf here for a detailed Postdoctoral Fellow/Data Scientist position description.
Application Requirements
To apply, please fill out this form, submit your resume, cover letter, and any relevant portfolios or projects demonstrating your expertise in water quality analysis, machine learning, and web development to Laura Klein (l3klein@uwaterloo.ca) and Nandita Basu (nandita.basu@uwaterloo.ca). We will start evaluating applications after June 15, 2023. University of Waterloo is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply.
Note: Only shortlisted candidates will be contacted.
Are you passionate about leveraging the power of data to address critical environmental challenges? Are you skilled in machine learning and eager to apply your expertise to improve water quality? If so, we have an exciting opportunity for you! We are seeking a talented and motivated PDF/Data Scientist to join our team. You will play a pivotal role in developing innovative solutions for monitoring and analyzing water quality data. Your work will contribute to the development of intelligent systems and tools that facilitate data-driven decision-making and promote sustainable water management practices. This work is being done in collaboration with various stakeholders across the Great Lakes Basin, including Environment and Climate Change Canada, Conservation Authorities, and NGOs like the DataStream Initiative.
Download the pdf here for a detailed Postdoctoral Fellow/Data Scientist position description.
Application Requirements
To apply, please fill out this form, submit your resume, cover letter, and any relevant portfolios or projects demonstrating your expertise in water quality analysis, machine learning, and web development to Laura Klein (l3klein@uwaterloo.ca) and Nandita Basu (nandita.basu@uwaterloo.ca). We will start evaluating applications after June 15, 2023. University of Waterloo is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply.
Note: Only shortlisted candidates will be contacted.
PhD Position on Modelling Water Quality and Climate Services of Wetlands at the Continental Scale
Applications are invited for one fully funded 4-year PhD position available at the University of Waterloo on Mapping Wetland Restoration Scenarios at continental scales. The project involves using remotely sensed wetland information with empirical and process-models of varying levels of complexity to quantify GHG emission and water purification services of wetlands in two major agricultural regions in Canada (Great lakes and the Prairies), with potential of expanding to the North America scale. The student will be co-supervised by Dr. Tonya DelSontro (Earth and Environmental Sciences), an expert on GHG emissions from aquatic systems, and Dr. Nandita Basu (Civil and Environmental Engineering & Earth and Environmental Sciences) with expertise in water quality modeling. The project is a part of a large pan-Canadian Project called Solutionscapes: Designing Climate and Water Smart Agricultural Solutions in Complex Working Landscapes that aims to develop pan-Canadian, spatially explicit solution portfolios for agricultural landscapes that will move Canada towards a net-zero GHG future, while also prioritizing water quality and other ecosystem services.
Download pdf for a detailed position description.
Application Procedure
For further information and to apply, send a CV, transcripts, and a page describing your interests and background to Laura Klein (l3klein@uwaterloo.ca, cc nandita.basu@uwaterloo.ca; tonya.delsontro@uwaterloo.ca)
Applications are invited for one fully funded 4-year PhD position available at the University of Waterloo on Mapping Wetland Restoration Scenarios at continental scales. The project involves using remotely sensed wetland information with empirical and process-models of varying levels of complexity to quantify GHG emission and water purification services of wetlands in two major agricultural regions in Canada (Great lakes and the Prairies), with potential of expanding to the North America scale. The student will be co-supervised by Dr. Tonya DelSontro (Earth and Environmental Sciences), an expert on GHG emissions from aquatic systems, and Dr. Nandita Basu (Civil and Environmental Engineering & Earth and Environmental Sciences) with expertise in water quality modeling. The project is a part of a large pan-Canadian Project called Solutionscapes: Designing Climate and Water Smart Agricultural Solutions in Complex Working Landscapes that aims to develop pan-Canadian, spatially explicit solution portfolios for agricultural landscapes that will move Canada towards a net-zero GHG future, while also prioritizing water quality and other ecosystem services.
Download pdf for a detailed position description.
Application Procedure
For further information and to apply, send a CV, transcripts, and a page describing your interests and background to Laura Klein (l3klein@uwaterloo.ca, cc nandita.basu@uwaterloo.ca; tonya.delsontro@uwaterloo.ca)
We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.
