Internship Opportunities with MITACS

As the hub for analytics and artificial intelligence collaborations at the University of Toronto’s Faculty of Applied Science & Engineering, CARTE is pleased to share the following MITACS internship opportunities in analytics, artificial intelligence and machine learning.

Before applying, please contact Wil de Vega to verify the opportunity you are interested in remains available, and for information on next steps. 

Requirements

  • All MITACS internships must have an academic supervisor associated with the project.
  • Master of Applied Science and PhD students are expected to be supervised by their thesis supervisor.
  • Undergraduate and Master of Engineering students who don't currently have a supervisor may be supervised by a faculty member from any department. We advise these students browse the profiles of CARTE affiliate faculty, as well as profiles of other University of Toronto faculty members on departmental websites, to find potential supervisors and contact them directly. If you need additional guidance to find a supervisor, please contact us.

Province of internshipProject #Project TypeIndustry PartnerProject NameAcademic DisciplinesEducation Level# of internships
BCBC - 895InnovationZaui Software Ltd.Intelligent revenue management:  Automated insights for the transportation industry with applied machine learningComputer science, Engineering - computer / electricalMaster's, PhD, Recent graduate1
ONON - 930InnovationBluekey AI Technology (Anonymous)Integrating predictive analytics for personalized assessmentEngineering - computer / electrical, Computer science, MathematicsMaster's, PhD, PDF1
ONON - 932InnovationSegmatics Inc.SaaS development for supply chain management, based on a central, AI powered integrator for automated demand segmentation and decision makingComputer science, Operations research, Statistics / Actuarial sciencesMaster's, PhD, PDF2
ONON - 940InnovationGUIDING LIGHT AUTISM SERVICES INCA platform where ABA meets behaviour trackingComputer scienceUndergraduate/Bachelors, Masters, Recent graduate2 to 5
ONON - 946Innovation3.2.1 SLEEPDeveloping an application to streamline the automation of shipping cost calculationsComputer science, Operations research, Statistics / Actuarial sciencesMaster's1
ONON - 931InnovationCulinary CompassRefining machine learning models for enhanced flavour profiling and matchingEngineering - computer / electrical, Food science, Interactive arts and technologyCollege, Undergraduate/Bachelors, Master's, PhD, PDF, Recent Graduate4
ONON - 937InnovationRadisenPediatric and youth healthcare solutions with AI-TB/Pneumonia X-ray SWEngineering - computer / electricalPhD2 to 3
ONON - 941ResearchTrebble (Anonymous)Towards a ML pipeline for automated audio transcription-based editingEngineering - computer / electrical, Engineering - other, Computer science,Master's, PhD, PDF1