Research Assistant (Machine Learning - Brain Functional Imaging)

Research Assistant (Machine Learning - Brain Functional Imaging) - (3550)

This research project, “Sensor-Free Machine Learning for Physiological Correction of Brain Functional Imaging : A Lifespan Pilot Study,” investigates how machine learning can be used to improve the reliability of functional MRI (fMRI) data without relying on external physiological sensors. The project uses open-access Human Connectome Project lifespan datasets (children, young adults, and older adults) to develop and evaluate models that estimate respiratory and heart-rate variation directly from brain imaging data. The work contributes to advances in neuroimaging methodology and supports the development of accessible, reproducible biomedical data science tools.

This is a flexible, part‑time research position, requiring approximately 4–6 hours per week, with scheduling arranged to accommodate the student’s academic commitments. The position is grant‑funded and will run from May 1, 2026 to December 30, 2026. The role is well suited for one or two undergraduate students with an interest in data science, machine learning, biomedical imaging, or applied artificial intelligence in health research.

Responsibilities

• Assist with data preprocessing and analysis of large neuroimaging datasets
• Support development and evaluation of machine learning models in Python
• Help generate figures, summaries, and documentation of results
• Contribute to research dissemination activities (e.g., student research day, conference materials)
• Follow best practices in reproducible research and open science

Qualifications

Salary : $21.23 - $26.81 per hour (commensurate with experience and MRU RA pay guidelines)

Closing Date : March 15, 2026

A resume (and optional cover letter) should be submitted in one .pdf formatted document. Please title your .pdf document as follows : [Last Name], [Requisition Number], [RA-IRGF].pdf (ex. Coordinator, 9999, RA-IRGF.pdf).

For questions about the position, please contact Dr. Abdoljalil Addeh, Department of Mathematics and Computing, Faculty of Science and Technology via email : jaddeh@mtroyal.ca.

We encourage all qualified applicants to apply, however, Canadian citizens, permanent residents and others currently legally authorized to work in Canada will be given priority. Please note only applicants selected for an interview will be contacted. After the close date, you can check on the status of your application through your Career Centre. New career opportunities arise frequently and are posted as they become available. Please check back often to view our latest postings on our Career Opportunities page.

If you require accommodation to participate in the recruitment process, please notify erecruiter@mtroyal.ca and we will work together on your accommodation request.

About MRU

Founded in 1910 and located in Calgary, Alberta, Canada, Mount Royal University grew into a vibrant college in the 1930s and became a mid‑size university in 2009. A student‑focused undergraduate university built on teaching excellence, Mount Royal University is known for our top‑calibre programs, high‑quality teaching and learning experience, robust delivery of liberal education, scholarly teaching, experiential learning and undergraduate research. MRU serves approximately 15,782 students, including 11,752 full‑time and 4,030 part‑time learners. MRU offers 13 bachelor's degrees encompassing 37 majors across faculties such as Arts, Business, Communications, Health, Community & Education, and Science & Technology. With over 74% of its student body drawn from the local area, Mount Royal University primarily serves Calgary and its surrounding region. MRU is a diverse yet close community with over 1,800 employees. Mount Royal provides employees the support they need to lead and advance institutional goals. Learn more about MRU's Academic Plan and Strategic Plan.

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