Intern Associate Engineer - AI Enabled 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.

What you'll bring to the team:

• 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.