Quantification of climate change impacts of selected construction material supply chains- BC- 480

Desired discipline(s): Engineering - chemical / biological, Engineering, Engineering - civil, Engineering - computer / electrical, Computer science, Mathematical Sciences, Statistics / Actuarial sciences, Environmental sciences, Natural Sciences, Forestry, Resources and environmental management
Company: C Change Labs
Project Length: 6 months to 1 year
Preferred start date: 07/15/2020
Language requirement: English
Location(s): Coquitlam, BC, Canada
No. of positions: 3
Preferred institutions: British Columbia Institute of Technology, McGill University, Polytechnique Montréal, Simon Fraser University, University of British Columbia, University of Calgary, University of Toronto, University of Waterloo

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About the company: 

C Change Labs delivers cloud software solutions addressing climate change.  Its operations are currently entirely focused on the EC3 tool for embodied carbon in construction supply chains, operated by BuildingTransparency.org.  BuildingTransparency is a Washington State 501c(3) funded by an alliance of technology companies (e.g. Microsoft), foundations (e.g. MKA and Charles Pankow foundations) and industry (Skanska, Interface, USG, etc).  

Please describe the project.: 

Research the existing stock of Environmental Product Declarations in selected material categories including wood, steel, and glass.  Evaluate the accuracy and comparability of the population, identify top sources of embodied carbon impact variation in the supply chain, and provide estimates of the sensitivity of the embodied carbon impact of those supply chain factors.  Document these differences in formats that can be published, incorporated into BuildingTransparency's free EC3 software service.

All work to be performed remotely using industry standard tools, including Zoom, Github, and Asana.

Required expertise/skills: 

Product Life Cycle Analysis or Environmental Impact Assessment using industry standard tools.

Carbon impacts in forestry and wood processing.

Manufacture of Construction Materials such as concrete, steel, and glass.

Experience with data analysis, python or 'r' programming, natural language parsing, and building structures would be assets.

Not all candidates will need all skills, since teamwork will be involved.