Partner with Master of Engineering Students on Industry Projects
Looking to hire senior-level talent for a short-term, high-impact project?
Our Master of Engineering (MEng) students bring advanced education and valuable industry experience, enabling them to make meaningful contributions to your organization from day one. With expertise across eight disciplines, including Biomedical, Biological, Mechanical, Mechatronics, Software, Engineering Systems and Computing, Environmental, and Water Resources Engineering, our students are equipped to tackle a wide range of business and technical challenges.
MEng interns are available to work for up to 4 months, beginning in May 2027.
Available Project Opportunities
There are several opportunities to partner with our Master of Engineering students. Please review these opportunities and submit your project proposal below.
Through 16-week individual projects, students work with organizations to develop practical, evidence-based solutions tailored to specific technical, research, operational, or strategic needs.
Master of Biomedical Engineering students apply engineering design, analytical thinking, and healthcare innovation to improve human health and address real-world challenges in healthcare, life sciences, and medical technology.
Sample Projects
You may be a good fit for this project if you need assistance with:
Medical device, diagnostic, or healthcare technology evaluation
Medical imaging, image analysis, or data-driven healthcare applications
AI and machine learning applications in healthcare
Literature reviews, evidence synthesis, and technology assessments
Clinical, operational, or healthcare data analysis
Bioinstrumentation, diagnostics, or prototype development support
Process improvement and workflow optimization
Market research and competitive landscape analysis
Healthcare innovation, product development, and commercialization planning
Identifying unmet clinical or user needs and developing strategic recommendations
Research and project areas may include but are not limited to medical devices, diagnostics, biomedical imaging, AI in healthcare, digital health technologies, wearable sensors, healthcare data analytics, biomechanics, rehabilitation engineering, health technology assessment, and biomedical product development.
Sample Project: AI-Powered Clinical Trial Intelligence Hub
Objective: Develop a centralized knowledge platform that summarizes and tracks clinical trials in a therapeutic area (e.g., oncology, diabetes, neurology).
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Master of Biological Engineering students combine engineering, biological sciences, data analysis, and innovation to address complex challenges across biotechnology, healthcare, agriculture, environmental sustainability, and related sectors.
Sample Projects
You may be a good fit for this project if you need assistance with:
Biotechnology research and development initiatives
Bioprocess optimization and process improvement
Data analysis and performance evaluation
Technology assessment and implementation
Environmental sustainability and resource management projects
Regulatory, quality, or compliance-related assessments
Literature reviews, environmental scans, and evidence synthesis
Product, process, or operational innovation
Strategic planning and project management support
Identifying challenges and developing data-driven recommendations
Research and project areas may include, but are not limited to, biotechnology, bioprocess engineering, agricultural technologies, environmental sustainability, biological systems modelling, resource management, bio-based product development, process optimization, regulatory compliance, and technology innovation.
Sample Project: Bioprocess Optimization Assessment
Objective: Evaluate and improve the efficiency of a biological production process.
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Master of Computer Engineering students leverage skills in software development, computer systems, artificial intelligence, machine learning, robotics, embedded systems, and cloud technologies to address complex technical challenges.
Sample Projects
You may be a good fit for this project if you need assistance with:
Artificial intelligence and machine learning applications
Software, web, or application development
Data analytics and predictive modelling
Robotics and automation solutions
Embedded systems and IoT development
Cloud computing and network optimization
Systems architecture and performance analysis
Process automation and workflow optimization
Computer systems integration and testing
Identifying technical challenges and developing technology-driven recommendations
Research and project areas may include, but are not limited to, artificial intelligence, machine learning, software engineering, data analytics, robotics, embedded systems, Internet of Things (IoT), cloud computing, computer systems architecture, cybersecurity, automation, and intelligent systems.
Sample Project: Intelligent Monitoring and Automation System
Objective: Design and implement a connected monitoring and automation system that collects sensor data, processes information in real time, and supports operational decision-making.
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Master of Engineering (Mechanical Engineering) students integrate engineering design, analytical methods, and technical knowledge in energy systems, manufacturing, and materials to develop solutions for complex technical and operational challenges.
Sample Projects
You may be a good fit for this project if you need assistance with:
Energy systems analysis and sustainability initiatives
Manufacturing process improvement and optimization
Product design, development, and performance assessment
Materials evaluation and manufacturing challenges
Data analysis, modelling, and performance evaluation
Thermal, fluid, and mechanical system assessment
Industrial automation and intelligent control systems
Life-cycle assessment and sustainable design projects
Supply chain, remanufacturing, and systems modernization initiatives
Technology assessment, feasibility studies, and engineering decision support
Project management, operational efficiency, and continuous improvement initiatives
Identifying technical challenges and developing data-driven recommendations
Research and project areas may include, but are not limited to, sustainable energy, sustainable mobility, advanced manufacturing, materials engineering, thermo-fluids, solid mechanics, intelligent systems, life-cycle assessment, remanufacturing, and engineering management.
Sample Project: Energy Procurement and Market Analytics Framework for Industrial Operations
Objective: Design and implement a data-driven framework that analyzes energy consumption, electricity market trends, and procurement performance to identify cost-saving opportunities and support strategic energy procurement decisions.
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Master of Engineering (Engineering Systems & Computing) students draw upon computing systems, artificial intelligence, software engineering, data analytics, robotics, and digital technologies to develop practical, data-driven solutions to complex challenges.
Sample Projects
You may be a good fit for this project if you need assistance with:
Artificial intelligence and machine learning applications
Software development and system architecture design
Data analytics, visualization, and decision-support systems
Automation, robotics, and intelligent control systems
Cloud computing and distributed computing solutions
Computer vision and pattern recognition applications
Digital transformation and process automation initiatives
Algorithm development and optimization
Technology assessment and implementation planning
Systems integration and performance evaluation
Cybersecurity and secure system design considerations
Identifying technical challenges and developing data-driven recommendations
Research and project areas may include, but are not limited to, artificial intelligence, robotics, microprocessors, computer architecture, cloud computing, telecommunications, software engineering, high-performance computing, and intelligent systems.
Sample Project: Generative AI Knowledge Assistant and RAG Platform
Objective: Design and develop an AI-powered knowledge assistant that leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to help organizations access, analyze, and utilize internal knowledge and technical documentation more effectively.
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Master of Engineering (Environmental Engineering) students utilize environmental engineering principles, sustainability practices, and analytical methods to address complex environmental and operational challenges.
Sample Projects
You may be a good fit for this project if you need assistance with:
Environmental compliance and regulatory assessments
Health, safety, and environmental (HSE) program improvements
Pollution prevention and waste reduction initiatives
Water, wastewater, and stormwater management projects
Air quality assessment and emission reduction strategies
Environmental monitoring and performance evaluation
Site remediation and contamination management planning
Sustainability and resource conservation initiatives
Environmental risk assessment and mitigation planning
Process improvement, operational efficiency, and asset management projects
Technical documentation, SOP development, and best-practice implementation
Identifying environmental challenges and developing data-driven recommendations
Research and project areas may include, but are not limited to, wastewater treatment, soil and groundwater remediation, air pollution control, environmental monitoring, biofiltration, environmental modelling, resource recovery, and policy innovation.
Sample Project: Environmental Compliance and Asset Reliability Improvement Framework
Objective: Develop an integrated environmental compliance, maintenance reliability, and operational improvement framework to support safe, sustainable, and efficient plant operations.
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Master of Engineering (Mechatronics Engineering) students harness their knowledge of mechanical systems, electronics, robotics, automation, embedded systems, control engineering, and intelligent software to develop innovative solutions to complex technical challenges.
Sample Projects
You may be a good fit for this project if you need assistance with:
Automation and robotics system design
Embedded systems and hardware integration
Sensors, actuators, and instrumentation applications
Control systems development and optimization
Mechanical and electromechanical system design
Rapid prototyping and product development
System integration, testing, and validation
Industrial automation and smart manufacturing initiatives
Machine learning and intelligent system applications
Data acquisition, monitoring, and control solutions
Hardware-software co-design and troubleshooting
Identifying technical challenges and developing data-driven recommendations
Research and project areas may include, but are not limited to, robotics, intelligent systems, embedded systems, artificial intelligence, automation, sensors, control systems, and smart manufacturing.
Sample Project: Intelligent Field-Deployable Monitoring and Control System for Advanced Sensing Applications
Objective: Design, integrate, and validate a ruggedized mechatronic system that combines sensors, embedded electronics, control systems, mechanical design, and software automation to support reliable operation in harsh field, aerospace, or industrial environments.
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Master of Engineering (Water Resources Engineering) students build on their knowledge in hydrology, water quality, environmental systems, infrastructure design, watershed management, and data analysis to address complex challenges related to water resources, environmental sustainability, and municipal infrastructure.
Sample Projects
You may be a good fit for this project if you need assistance with:
Water and wastewater treatment system evaluation
Water quality assessment and monitoring
Hydrologic and environmental modelling
Stormwater and watershed management projects
Municipal water and wastewater infrastructure planning
Groundwater and surface water resource management
Environmental data collection and analysis
Erosion control and pollution mitigation strategies
Infrastructure performance assessment and optimization
Technical reporting, engineering design, and feasibility studies
Regulatory compliance and environmental sustainability initiatives
Identifying water resource challenges and developing data-driven recommendations
Research and project areas may include, but are not limited to, water treatment, wastewater treatment, hydrologic modelling, watershed management, water quality protection, pollution control, and sustainable infrastructure development.
Sample Project: Water and Wastewater Treatment Performance Assessment and Optimization Framework
Objective: Evaluate the performance of water and wastewater treatment systems and develop data-driven recommendations to improve treatment efficiency, regulatory compliance, operational reliability, and long-term infrastructure planning.
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M.Eng. students combine advanced engineering expertise with foundational skills in AI, data analytics, automation, modeling, and process optimization. Their interdisciplinary training enables them to support organizations in identifying AI opportunities, improving decision-making, streamlining operations, and implementing technology-driven solutions to complex business and technical challenges.
Sample Projects
You may be a good fit for this project if you need assistance with:
Enterprise AI Transformation, Intelligent Automation, and Workflow Optimization
AI-powered precision agriculture, food production optimization, or bioprocess improvement
AI applications in medical imaging, diagnostics, or healthcare innovation
Machine learning, intelligent software systems, or computer vision solutions
Predictive analytics, intelligent automation, or smart manufacturing initiatives
Environmental monitoring, sustainability analytics, or emissions reduction strategies
Predictive maintenance, asset optimization, or ngineering process improvement
Robotics, autonomous systems, or AI-enabled automation projects
Water resource forecasting, infrastructure optimization, or smart water management solutions
Objective: Evaluate business processes, operational workflows, and organizational performance to identify opportunities for generative AI, automation, and agent-based solutions, and develop data-driven recommendations to improve efficiency, adoption, decision-making, governance, and enterprise-wide AI transformation.
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Partner with the University of Guelph and discover the possibilities.
Funding Opportunities
Mitacs Project Funding
Mitacs works to provide a key link between Canadian private sector and post-secondary institutions by offering grants and funding for research and project-based employment opportunities for post-secondary students.
This funding compensates 50% of the student salary and is a unique opportunity as it is eligible for international visa students, permanent resident, and Canadian citizens.
Employers can choose from three different Mitacs programs depending on the nature of their project.
Through Accelerate, Mitacs offers grants and funding for research-based employment opportunities for Canadian companies employing post-secondary students for four or six months. This funding compensates 50% of the student salary and offers eligibility for international visa students, permanent residents, and Canadian citizens.
This funding is intended to help businesses optimize their budgets, expand their research and development efforts, and leverage the expertise of undergraduate and graduate students, recent graduates, postdoctoral researchers, and faculty members. Through collaboration with partner organizations, these talent and research networks foster transformative partnerships, address complex research challenges, and drive the innovations of tomorrow.
Key Points:
Projects should be designed as four-month internships; however, they can be adjusted to six-month internships to provide flexibility.
Extensions can be granted to projects requiring additional time for completion. This period. Typically, internships are approved for a total of $15,000, including a minimum $10,000 stipend and maximum $5,000 in research costs with $7,500 coming from the industry partner matched with $7,500 from Mitacs. Postdoctoral fellows are eligible to receive up to $20,000 per four-month period, with $10,000 coming from the industry partner matched with $10,000 from Mitacs. extension will support 1 additional internship unit*.
Each project is eligible for up to 10 internship units*.
Undergraduates, graduate students (PhD and Masters), postdoctoral fellows, and recent grads (within 2 years) are all eligible to participate.
Accelerate Program (Research-Maximum Project Value)
Interns are provided with a stipend/salary starting at $10,000 per four-month or six-month
The Business Strategy Internship (BSI) program is intended to support innovation: projects that fundamentally improve the function, capability, capacity, or potential of eligible Canadian Businesses or Community Partners.
Key Points:
Projects should be designed as four-month internships; however, they can be adjusted to six-month internships to provide flexibility.
Extensions can be granted to projects requiring additional time for completion. This extension will support 1 additional internship unit*.
Each project is eligible for up to 10 internship units*.
Undergraduates, graduate students (PhD and Masters), postdoctoral fellows, and recent grads (within 2 years) are all eligible to participate.
The BSI program provides an award $10,000 per intern per four-to-six-month internship. The full amount is awarded to the students as a stipend. The partner organization contributes $5,000 towards the award.
Alternatively, partner organizations can select a $15,000 funding model where $10,000 is awarded to the student as a stipend and $5,000 can be used toward project expenses. The partner organization contributes $7,500.
Mitacs AI Advantage helps enterprises across Canada adopt and innovate through access to highly skilled AI talent, vital co-funding, and strategic partnerships.
AI Adopt (ADOPT): Helps business move from AI readiness to implementation. It supports organizations that are looking to integrate artificial intelligence into their operations. Through work-integrated learning opportunities, employers can connect with student talent and academic expertise to explore, test, and implement AI-driven solutions that improve processes, productivity, and organizational outcomes.
AI Innovation (AI+X): Advances AI-enabled research and innovation and supports projects that leverage artificial intelligence to address complex challenges, create new products or services, or advance research and development. Employers can collaborate with students and researchers to apply AI in fields such as engineering, agriculture, health care, business, and other sectors where innovation can drive meaningful impact.
Key Points:
Projects should be designed as four-month internships; however, they can be adjusted to six-month internships to provide flexibility.
Extensions can be granted to projects requiring additional time for completion. This extension will support 1 additional internship unit*.
Each project is eligible for up to 10 internship units*.
Undergraduates, graduate students (PhD and Masters), postdoctoral fellows, and recent grads (within 2 years) are all eligible to participate.
Mitacs AI Advantage provides multiple award values to support projects involving Mitacs program participants at different stages of education.
$10,000 per intern per four-to-six-month internship. The full amount is awarded to the students as a stipend. The partner organization contributes $5,000 towards the award.
$15,000 funding model where $10,000 is awarded to the student as a stipend and $5,000 can be used toward project expenses. The partner organization contributes $7,500.
$20,000 funding model where $15,000 is awarded to the student as a stipend and $5,000 can be used toward project expenses. The partner organization contributes $10,000.
A $25,000 funding model is available to postdoctoral students only, in which $20,000 is awarded to the student as a stipend. The partner organization contributes $12,500, and $5,000 can be used toward project expenses.
Connect with a WEX Coordinator to Learn More
