An AI strategy for Innovation Canada - ON-090

Preferred Disciplines: Computer Science (either Master, PhD, or Post-Doc)
Company: ISED (Innovation, Science and Economic Development Canada)
Project Length: 4-6 months
Desired start date: ASAP
Location: Ottawa, Ontario
No. of Positions: 1
Preferences: no language preferences

About the Company: 

Innovation, Science and Economic Development Canada (ISED) works with Canadians in all areas of the economy and in all parts of the country to improve conditions for investment, enhance Canada's innovation performance, increase Canada's share of global trade and build a fair, efficient and competitive marketplace.

Project Description:

Innovation Canada is looking to see how AI could be used to help innovators and entrepreneurs save time in their interactions with government. Currently, innovators and entrepreneurs must invest time to view multiple websites or talk with agents who can help direct them towards Government-funded innovation programs that provide funding, advice, or facilities. The aim is to make this process easier and more efficient.

Research Objectives:

  • The strategy can include suggestions in the digital space such as the web/mobile app, email and social media, or to help the more traditional communications channels (phone)
  • There will be a need to consolidate and analyze large amounts of data on programs and companies to find the best government program for entrepreneurs
  • Also, there is the potential to use chat bots and natural language processing in interactions with businesses


  • To be discussed

Expertise and Skills Needed:

    • Expertise in AI

    For more info or to apply to this applied research position, please

    1. Check your eligibility and find more information about open projects.
    2. Complete this webform. You will be asked to upload your CV. Remember to indicate the title of the project(s) you are interested in and obtain your professor’s approval to proceed!
    3. Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform or directly to Jesse Vincent-Herscovici at jvh(a)