24-H41: Assistant, Real-time Water Quality

Who are we?

Credit Valley Conservation is one of Ontario’s 36 conservation authorities dedicated to protecting, restoring and enhancing our local natural environment. We care for the Credit River, its streams and tributaries from the headwaters in Orangeville to the shores of Lake Ontario in Mississauga. We are scientists, engineers, researchers, educators, environmentalists, stewards, planners, foresters, recreation experts and much more. We create connections between people and nature, knowledge and action. We inspire appreciation for the role of nature in keeping people connected, healthy and happy. We’re leaders and explorers. We are professional and we’re inspired. We know our stuff, and we work every day to make a difference.

Who are you?

You want to be part of an organization with an environmental goal. You get up every day and go to work with purpose. You accept that you may not change the world, but you’ll try to make an impact in your corner. You like to partner with skilled people across many professions. It’s as natural for you think about the outdoors as it is to think out of the box. You’re passionate, responsible and approachable. You do what’s right, not just what’s easy. You care, and it shows.

Why work for us?

We offer competitive public sector pay. We’re members of the Ontario Municipal Employees Retirement System - OMERS pension fund. We find time to have fun and celebrate successes. You’ll know your co-workers by name and will make fast friends. You’ll like being at work.

Summary of Functions

This position will support the Real-time Water Quality program in developing and implementing Python and/or R statistical tools for water quality time series analysis.

This position will be remote – the successful candidate will be working from home, however, may need to come to CVC’s head office for meetings.

Eligibility Requirements

  • Currently pursuing or have completed post-secondary education in water resources/environmental/computer sciences/studies, or related disciplines.
  • Knowledge of Python and/or R programming languages.
  • Some understanding of Artificial Intelligence.
  • Experience in conducting research such as review of literature, statistical analysis, integrated data analysis, and developing computer algorithms.
  • Basic understanding of Big Data Analysis approaches.
  • Strong organizational skills.
  • Strong technical writing and oral communication skills.
  • Ability to work independently and as part of a team.

This position may be partially funded by Canada Summer Jobs funding. To help us understand if you are eligible for a position funded by Canada Summer Jobs Funding, please indicate on your cover letter if you meet the CSJF criteria below.

  • Be between 15 and 30 years of age at the start of the employment*.
  • Be a Canadian citizen, permanent resident, or person whom refugee protection has been conferred under the Immigration and Refugee Protection Act for the duration of the employment**; and,
  • Have a valid Social Insurance Number at the start of employment and be legally entitled to work in Canada in accordance with relevant provincial or territorial legislation and regulations.
  • **International students are not eligible participants

While we use this information to determine if you meet the screening criteria, we are not hiring solely on this and may consider candidates for the position that do not meet this eligibility criteria.

Summary of Major Tasks

  • With the support of senior staff, develop Python and/or R statistical packages for water quality time-series analysis for the data collected at CVC’s Real-time Water Quality Network and simulated using water quality models.
  • Apply the package(s) on selected water quality time-series for trend and other statistical analyses.
  • Prepare technical and non-technical report(s) to summarize research methodology and results.
  • Reach out to external groups working on similar analysis for knowledge exchange.

Additional Information

  • 35 hours per week
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