Reporting to Dr. Carole Estabrooks, Scientific Director, Translating Research in Elder Care, the main focus of the Postdoctoral Fellow position will be to undertake advanced statistical modeling and analysis of a longitudinal dataset collected over 18 years in the continuing care home sector (LTC homes). The database includes survey data from facilities, care units, and multiple levels of care staff and administrative data from routine assessment of care home residents. Linkages to external data are also desired to answer specific questions of policy relevance.

Specific aims will include: (1) exploring the impact of overlapping socio-demographic characteristics on staff health and well-being, performance measures and resident outcomes, (2) conducting a multi-methods study (recently collected qualitative data and multiple years of survey data) addressing one or more performance measures, and (3) using machine learning techniques to identify thus far unidentified patterns in the data.

The Department of Civil and Environmental Engineering at the University of Alberta invites applications for a highly motivated Postdoctoral Researcher to join the research group led by Dr. Tae J. Kwon. Dr. Kwon’s research program focuses on intelligent transportation systems, traffic mobility, geospatial modeling, advanced spatial analytics, infrastructure planning and winter road maintenance operations.

The selected candidate will contribute to two major collaborative research initiatives with the City of Edmonton and various international partners, including state DOTs. The projects broadly involve advanced multimodal AI techniques, deep learning, computer vision, geospatial analytics, and geostatistical modeling to address critical transportation engineering challenges. Key research themes include citywide traffic volume estimation, infrastructure planning, winter road condition monitoring and forecasting, and strategic optimization of transportation monitoring systems.

The candidate will be responsible for conducting innovative research using advanced analytical techniques, analyzing large-scale transportation datasets, developing and validating predictive models, and collaborating closely with interdisciplinary teams and stakeholders. They will also be expected to actively prepare manuscripts, technical reports, presentations, and participate in disseminating research findings.

We are inviting applications for two Postdoctoral Research Fellow positions in the area of Reconfigurable Metasurfaces/Metamaterials and Silicon Photonics. This position is part of a cutting-edge research initiative at the Nanoscale Optics Lab at the University of Alberta, focused on developing next-generation nanophotonic platforms with potential impact on quantum information technologies.

Prof. A. Penin’s particle theory group is recruiting for a full-time Research Associate to assist with a project involving high-precision calculations in a wide class of quantum field theory problems, which are of primary phenomenological importance for current and future experiments.

The Renewable Resources Department is the home of the forestry and soil science scientific community for better management, conservation, and restoration of ecosystems and landscapes. The department’s undergraduate and professional master’s programs in forestry are nationally accredited, and graduate student research and faculty scholarship is world-class. Faculty, students, and research associates in the Department benefit from collaborative relationships with provincial and federal government agencies and Alberta’s industry. Through diverse research partners, we use integrated, multidisciplinary approaches and maintain strong ties with land and natural resource managers.  We offer innovative teaching, enhancing our students’ experience with laboratory, field, and off-campus learning environments. Many of our staff and faculty have won awards from the faculty, the university and other organizations for their outstanding efforts. 

A postdoctoral researcher position is available in the Charlebois Research Group to work on a Human Frontier Science Program project on predicting microbial evolution. This project will involve investigating the effect of community size on the repeatability of antifungal resistance evolution in pathogenic yeast communities. This is a three-year position subject to annual renewal contingent upon performance and funding.

RNA therapeutics are reshaping modern medicine—from mRNA vaccines to precision gene modulation. At the COBRA Lab, we advance computational methods that connect RNA structure to function and translate those insights into tangible health benefits. Joining our team means collaborating with researchers across disciplines, seeing your algorithms inform real-world therapies, and contributing to an inclusive scientific community committed to open, rigorous inquiry.

The selected candidate will contribute significantly to advancing farm ventilation technologies, dedicating 80% of their time to innovative research, including modelling, simulation, testing HVAC systems, and draft papers. A further 10% will involve mentoring graduate and intern students and providing technical guidance under the Principal Investigator’s supervision. The remaining 10% will focus on self-directed research initiatives and the development of funding proposals.

Dr. Osmar Zaiane, professor in the Department of Computing Science and Fellow at the Alberta Machine Intelligence Institute (Amii), has an immediate opening for a postdoctoral fellow to work on the research project “Machine Malfunction Prediction and Machine Adaptation using Machine Learning”. This project investigates effective means to automatically predict machine failures and strategies to adapt a malfunctioning machine to continue its mission before maintenance can be performed. The project also relates to machine adaptation to environment dynamics and human collaborators. The research applies Machine learning and Data Mining and focuses on Reinforcement Learning techniques to achieve these goals. Amii is one of three centers of excellence in the Pan-Canadian AI strategy, and is a world-renowned leader in artificial intelligence research, advancing the field of AI through ground-breaking discoveries and transformative technologies.

The Foundations of Robust and Trustworthy Machine Learning (FORT) lab led by Prof Nidhi Hegde has an immediate opening for a postdoctoral researcher. The FORT lab focuses on a fundamental approach to developing robust and trustworthy algorithms for machine learning. This largely applies to notions of privacy and fairness, but also to more general concepts of robustness and stability. Applications range from supervised learning to bandits to language models to image segmentation. The current open position is for a project on Distributionally Robust Optimization as applied to these themes. 

The selected candidate will be hosted in the FORT lab, in the Department of Computing Science at the University of Alberta and the Alberta Machine Intelligence Institute (Amii). Both Amii and the University of Alberta offer numerous opportunities of professional development for postdoctoral researchers to carve their paths, whether in academia or industry.

The appointment will initially be for one year with a salary starting at $40,000 (CAD) per year with annual increase and benefits, one-time airfare, and $2000 per year for professional development. This post is renewable and subject to satisfactory performance. Starting date is negotiable but preferred start dates are between October 2024 to January 2025.

Additional funding is available from the Canadian Tri-Council research grant agencies, and potentially other sources. Successful candidates will be expected to apply for external funding with the help of the Principal Investigator. International applicants are welcome and encouraged. Those candidates invited to interview will be asked to outline postdoctoral funding opportunities to which they can apply (including deadlines and evidence that they meet eligibility requirements) from their home countries. 

This position offers the opportunity to contribute to innovative research in child development and participation through brain-computer interface (BCI) technology. We seek candidates passionate about the clinical implementation of non-invasive (BCIs) for neurodiverse children and youth. This interdisciplinary patient and family-centered research involves medicine, rehabilitation, and engineering faculties, aiming to enhance participation and development through play, mobility, and communication for people with neurological impairments.

A background in rehabilitation sciences, neuroscience, or developmental psychology is preferred. Successful candidates will have strong communication, collaboration, and coordination skills to work effectively with patients, families, researchers, clinicians, and industry partners and contribute successfully to this intersectoral research.