Applied Research Technician IV - Term-Certain

Applied Research Technician IV
- Term-Certain Please see Special Instructions for more details.

This position is conditionally funded and does not qualify for conversion under the AUPE Collective Agreement.

Position Information

Position Title

Position Title Applied Research Technician IV
- Term-Certain

Position Summary

We are seeking a highly motivated and innovative student for this position. You will have the opportunity to work closely with experts at EIC on various projects aimed at pushing the boundaries of innovation in renewable energy systems.
The Energy Innovation Centre ( EIC ) focuses on alternative and renewable energy systems and houses Red Deer Polytechnic’s Alternative Energy Lab. The EIC focuses on finding sustainable ways to generate energy and provides innovative solutions that influence the future of the energy in Alberta and Canada. Data analysis of the solar photovoltaic systems, alternative energy in agriculture, power and renewable energy systems simulation are among the projects EIC is currently involved in.

The team assists in applied research for industry while providing our students with meaningful, practical opportunities to further their learning.

Students in EIC are passionate about innovation and excited to learn in a unique environment. They are comfortable with work that is ambiguous and ever-changing. They will offer ideas and suggestions to their leaders and are prepared for those ideas to become learning challenges.

Position Responsibilities

• Collect, clean, and analyze data from renewable energy and energy-related projects.
• Develop data visualizations, dashboards, and reports to communicate findings.
• Assist with predictive modelling, simulations, and analytical tools to support project objectives.
• Use programming languages such as Python, R, or SQL for data analysis and automation.
• Support research activities through data collection, literature reviews, and technical documentation.
• Collaborate with multidisciplinary teams to identify trends, solve problems, and develop innovative solutions.
• Participate in project meetings, workshops, and knowledge-sharing activities.

• Hands-on experience working on real-world projects alongside industry experts.
• Opportunity to contribute to research and innovation initiatives.
• Mentorship and guidance from experienced professionals in the field.
• Competitive compensation package.

Required Qualifications

• Currently enrolled in a Bachelor of Engineering, Bachelor of Science in Computer Science, Data Science, or related program.
• Demonstrated ability to work with large, complex datasets and extract actionable insights through statistical analysis and data visualization.
• Proficiency in Python and experience using data analysis libraries such as Pandas, Num Py, Scikit-learn, Matplotlib, or similar tools.
• Strong understanding of data cleaning, validation, quality assurance, and analytical methodologies.
• Experience developing dashboards, automated reports, or analytical workflows using tools such as Power BI, Tableau, or equivalent platforms.
• Ability to translate technical data into meaningful recommendations for researchers, engineers, industry partners, and non-technical stakeholders.
• Demonstrated problem-solving skills through academic projects, research activities, competitions, co-op placements, employment, or personal projects.
• Strong written and verbal communication skills, including the ability to document methodologies and present findings.
• Interest in renewable energy, IoT, and emerging technologies.

Preferred Qualifications

• Experience applying machine learning, predictive analytics, optimization, or artificial intelligence techniques to real-world problems.
• Experience working with time-series, sensor, IoT, SCADA , energy, or industrial datasets.
• Familiarity with renewable energy systems, solar photovoltaic technologies, power systems, or energy management applications.
• Experience using Git, version control systems, and collaborative software development practices.
• Previous participation in research projects, applied research initiatives, hackathons, engineering competitions, or industry-sponsored…