Are you a student who is looking for a hands-on opportunity this Fall in your field of study? Are you interested in real world experience that you will not get anywhere else?
We are seeking a highly motivated and innovative student for this coop position. As a Data Analyst Coop student, you will have the opportunity to work closely with experts in Applied Research (Data-Driven Innovation) on projects aimed at pushing the boundaries of innovation through real-world data.
The Applied Research Division of Red Deer Polytechnic advances data-driven innovation through collaborative research with industry, community, and public-sector partners, exploring, testing, and validating data-enabled and AI-driven solutions. Through project-based applied research, the Data-Driven Innovation portfolio focuses on transforming real-world data into actionable insights, prototypes, and decision-support tools that improve productivity, efficiency, and innovation capacity. This work provides partners with an affordable, low-risk pathway to evaluate emerging digital technologies before large-scale adoption.
By leveraging interdisciplinary expertise across artificial intelligence, data analytics, and applied research methodologies, Red Deer Polytechnic supports partners in addressing complex operational and organizational challenges using evidence-based, data-driven approaches. Our applied research teams are recognized for their practical orientation, collaborative engagement, and ability to work with real-world, imperfect data in dynamic environments.
The Applied AI Research Assistant is an entry-level applied research position that supports data-driven and artificial intelligence research activities while providing day-to-day technical supervision of students and interns assigned to applied research projects. Working under the guidance of senior technical staff, the incumbent contributes to research tasks, experimentation, and prototype development that support partner needs and institutional research objectives.
In this fast-paced applied research environment, the incumbent supports experimentation with real-world datasets, contributes to the development and testing of AI-enabled research prototypes, and assists with documentation, reporting, and knowledge-transfer activities. The role includes responsibility for assigning and overseeing defined technical tasks for students and interns, supporting their learning and ensuring alignment with project objectives. The ideal candidate is organized, analytical, and motivated by solving applied problems while working collaboratively with researchers, faculty, students, and external partners.
