Intern Associate Engineer - AI Enabled Systems

About the team: 

The Intelligent Complex Systems Team, currently a part of the Waterloo Research Centre, examines recent advancements in artificial intelligence (AI) and robotics to determine its potential for broader applications. This innovative team researches AI challenges such as matching human capabilities and ensuring the safety of collaborative AI systems.

• Conduct literature reviews on existing Requirements Engineering (RE) practices and challenges in AI systems.
• Assist in identifying gaps in current RE methodologies when applied to AI/ML-based systems.
• Contribute to developing new models, techniques, or tools for AI-specific requirements elicitation, analysis, specification, and validation.
• Collaborate with the research team to design and execute experiments that evaluate the effectiveness of RE4AI practices.
• Participate in the creation of publications, reports, and presentations to disseminate research findings.
• Explore emerging topics such as explainability, ethics, data-driven requirements, and trustworthiness in AI systems.
• Engage in discussions on how traditional RE processes can be adapted or improved to suit AI-based development lifecycles.

About the ideal candidate:

• Currently enrolled in a Master’s or Ph.D. program in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Strong interest in Requirements Engineering, Systems Engineering, Software Engineering, and Artificial Intelligence.
• Basic knowledge of AI/ML technologies and their application in intelligent systems.
• Familiarity with research methodologies and the ability to conduct independent literature reviews.
• Excellent written and verbal communication skills.
• Analytical and problem-solving mindset with attention to detail.