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
ONON - 970InnovationLastMile AIEvaluation and interpretability of Generative AI RAG systems (ML Research Fellowship)Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences, MathematicsMaster'sPhDPostdoctoral fellow2
ONON-958InnovationSearchless Inc.AI-Based Interview EnhancementsEngineering - computer / electrical, Computer science, MathematicsUndergraduate/Bachelors, Master's, Recent graduate1
ONON-963Research360 Energy Inc.Advanced machine learning models for energy consumption forecasting and optimization Computer scienceMaster's, PhD1
ONON-964Innovation360 Energy Inc.Service oriented software architecture for streamlined data captureComputer scienceCollege1
ONON-965InnovationEditor Apps Inc.AI for eCommerce Product Photo EnhancementEngineering - computer / electrical, Computer scienceCollege, Undergraduate/Bachelors, Master's2
BCBC-901ResearchResort Municipality of Whistler - RMOWDigital Field Data CollectionEngineering - civil, Engineering - otherCollege, Undergraduate/Bachelor1
ONON-952ResearchAnonymousData engineering automation and enhancement for food and agriculture industry applicationsEngineering - computer / electrical, Computer sciencePDF, Recent graduate1
ONON-953ResearchAnonymousSynthetic data and data augmentation for Agri-Food data systemsEngineering - computer / electrical, Computer sciencePDF, Recent graduate1
ONON-954ResearchAnonymousReinforcement & transfer learning based food quality analysis for defect detection Engineering - computer / electrical, Computer sciencePDF, Recent graduate1
ONON-955ResearchAnonymousAdvanced and automated feature engineering for food and agriculture industry applicationsEngineering - computer / electrical, Computer sciencePDF, Recent graduate1
ONON-956ResearchAnonymousLarge Language Model innovation for Agri-Food sector applicationsEngineering - computer / electrical, Computer sciencePDF, Recent graduate1
ONON-957ResearchAnonymousEnhanced and automated MLOps systems to support the food and agriculture industryEngineering - computer / electrical, Computer sciencePDF, Recent graduate1