Research Associate

This posting is open to current employees at the University of Alberta only. Please indicate your internal status using the “Advertisement” drop down menu when applying.

This position is a part of the Association of the Academic Staff of the University of Alberta (AASUA).

In accordance with the Trust/Research Academic Staff Agreement , this position offers a comprehensive benefits package found on our Benefits Overview page and an annual salary range of $59,822 to $82,266. This position has an approximate appointment of 1 year plus a day.

Location

This role is in-person and work primarily takes place at North Campus Edmonton .

Working for the University of Alberta

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Métis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is teeming with change makers, community builders, and world shapers who lead with purpose each and every day. We are home to more than 40,000 students in 200+ undergraduate and 500+ graduate programs, over 13,000 faculty and staff, 260,000 alumni worldwide and have been recognized as one of Canada’s Greenest Employers for over a decade.

Your work will have a meaningful influence on a fascinating cross-section of people—from our students and stakeholders to our renowned researchers and innovators who are quite literally curing diseases, making discoveries and generating solutions that make the world healthier, safer, stronger, and more just.

Working for the Department of Computing Science

Founded in 1964, the Department of Computing Science at the University of Alberta is the oldest and one of the largest computing science departments in Canada. We have an international reputation for contributions in the many fields of computing, both in foundations and applications.

Position Summary

The Research Associate is pivotal in conducting collaborative research at the intersection of computing science and psychiatry, using advanced machine learning techniques to discern patterns in psychiatric disorders.  Operating within the academic and research framework guided by Principal Investigators, the associate addresses real-world challenges in mental health, balancing theoretical advancements and practical implementations. Serving as a liaison between academia and industry partners, the associate contributes to effective data integration, administers examinations, represents the organization in conferences, and provides expert consultative services.

Duties

• Designs individual experiments data collection protocols and standards under the supervision of the Principal Investigator.
• Oversees/conducts data collection. Conducts advanced analysis of research data and results.
• Summarizes, analyzes, and organizes data for publication. Participates in the writing of research papers, the preparation of presentations, and/or other publications.  May be considered as a coauthor or presenter.
• Assists in the preparation of research grant applications and contract proposals.
• May be responsible for the maintenance and efficient operation of the lab ( e.g., specialized lab equipment maintenance and calibration).
• May guide technical staff, students, and/or post-doctoral fellows in the lab.
• May advise on specialized technical procedures or equipment.

Minimum Qualifications

• Ph.D. in a relevant field such as Computing Science, Psychiatry, Neuroscience, or a closely related discipline is required.
• Knowledge of applying advanced machine learning techniques to analyze and predict psychiatric disorder patterns.
• Experience working in a research environment.
• Ability to collaborate effectively with researchers, graduate students, industry partners, and academics in an interdisciplinary research environment.
• Strong problem-solving abilities to address real-world challenges in mental health research.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

Note: Online applications are accepted until midnight Mountain Standard Time of the closing date.