Description
This position is part of the Post Doctoral Fellows Association and has an initial appointment for Summer 2025, with a term of 12 months (possibility of extension upon availability of funding and satisfactory performance).
This position has a comprehensive .
Location - This role is a hybrid with a mix of remote and in-person work at North Campus, University of Alberta, Department of Civil and Environmental Engineering, IDOBE lab:
Working at 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, Mxc3xa9tis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.
The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.
Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. .
About the opportunity
IDOBE group at the Department of Civil and Environmental Engineering, University of Alberta, has an opening for a Postdoc to support the research group in multiple projects related to Greenhouse design, operation, and monitoring for cold climate. This is a unique opportunity to join a vibrant academic environment and play an integral role in advancing research initiatives. We are committed to fostering an inclusive, diverse and equitable workplace that celebrates individual differences and promotes a culture of belonging.
Position Overview:
The successful candidate will work in the Department of Civil and Environmental Engineering with Dr. Yuxiang Chen. The ideal applicant will have demonstrated expertise in modeling, design, and operation of sustainable buildings, communities, and their systems. Solid knowledge and experience in advanced statistical approaches for analyzing complex datasets are highly desirable.
Qualifications
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