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 internship | Project # | Project Type | Industry Partner | Project Name | Academic Disciplines | Education Level | # of internships |
---|---|---|---|---|---|---|---|
ON | ON - 970 | Innovation | LastMile AI | Evaluation and interpretability of Generative AI RAG systems (ML Research Fellowship) | Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences, Mathematics | Master'sPhDPostdoctoral fellow | 2 |
ON | ON-958 | Innovation | Searchless Inc. | AI-Based Interview Enhancements | Engineering - computer / electrical, Computer science, Mathematics | Undergraduate/Bachelors, Master's, Recent graduate | 1 |
ON | ON-963 | Research | 360 Energy Inc. | Advanced machine learning models for energy consumption forecasting and optimization | Computer science | Master's, PhD | 1 |
ON | ON-964 | Innovation | 360 Energy Inc. | Service oriented software architecture for streamlined data capture | Computer science | College | 1 |
ON | ON-965 | Innovation | Editor Apps Inc. | AI for eCommerce Product Photo Enhancement | Engineering - computer / electrical, Computer science | College, Undergraduate/Bachelors, Master's | 2 |
BC | BC-901 | Research | Resort Municipality of Whistler - RMOW | Digital Field Data Collection | Engineering - civil, Engineering - other | College, Undergraduate/Bachelor | 1 |
ON | ON-952 | Research | Anonymous | Data engineering automation and enhancement for food and agriculture industry applications | Engineering - computer / electrical, Computer science | PDF, Recent graduate | 1 |
ON | ON-953 | Research | Anonymous | Synthetic data and data augmentation for Agri-Food data systems | Engineering - computer / electrical, Computer science | PDF, Recent graduate | 1 |
ON | ON-954 | Research | Anonymous | Reinforcement & transfer learning based food quality analysis for defect detection | Engineering - computer / electrical, Computer science | PDF, Recent graduate | 1 |
ON | ON-955 | Research | Anonymous | Advanced and automated feature engineering for food and agriculture industry applications | Engineering - computer / electrical, Computer science | PDF, Recent graduate | 1 |
ON | ON-956 | Research | Anonymous | Large Language Model innovation for Agri-Food sector applications | Engineering - computer / electrical, Computer science | PDF, Recent graduate | 1 |
ON | ON-957 | Research | Anonymous | Enhanced and automated MLOps systems to support the food and agriculture industry | Engineering - computer / electrical, Computer science | PDF, Recent graduate | 1 |