The main objective of the internship is to conduct a systematic review of artificial intelligence and machine learning and develop use-cases for Agriculture & Supply Chain Industries. This literature review will help in the development of a knowledge base to support the build-out program resource materials. These will be used as educational content for cohort-based […]

This project would be focused on the advancement of one specific subsidiary – AMI RockChain Inc. AMI RockChain has developed a unique digital solution platform for the sale, purchase and transportation of aggregates. Prior to COVID-19 much of our clientele was in the Oil and Gas industry however due to the pandemic, many of these […]

My research question of interest is: Can abandoned coal tailings impoundments be suitably utilized as sites for installation of solar photovoltaic (PV) panels for electricity generation? My research will focus on the feasibility analysis of renewable energy power generation utilizing geomembrane-mounted solar PV systems at the Victoria Junction Tailings Dam in Cape Breton, Nova Scotia. […]

Burning fuels such as gasoline and diesel in our vehicles causes green house gas emissions and it is a major cause of global warming. If electric vehicles replace gasoline powered vehicles, the emission will be much lower. The peak power demand of an electric vehicle during acceleration is the key factor for its battery size. […]

Measuring and assessing EPC project performance is an integral part of the management’s control function. EPC companies generate a lot of unstructured data. Visualization techniques have the potential to cope with such large datasets as are generated in EPC companies, by presenting subsets of these datasets in forms that provide useful insights for management teams. […]

MBA – Inside sales Intern – NTWIST-Phase 2 NTWIST currently has a few AI-based products that can help industrial clients to enhance process stability, profitability, and troubleshooting capabilities. It has also designed tools that can carry out scenario analysis & act as a training tool for operators, technical staff, and management. NTWIST is looking to […]

The student will help startup companies and innovators at the University of Alberta to help them grow their business. For the imYEG project: The work being done will contribute to the overall ecosystem success and will help the University advance innovation. There is a real opportunity to help expand the reputation of the University and […]

Like many businesses, we are investing in strategy and technology to market to, sell to, onboard, and service prospects and clients in a remote and digital reality. For investment services this will include expanded social media and content strategies, communication techniques such as webinar/podcast, fintech implementation to replace paper forms and ID verification, better advisor […]

The Venture Analyst Intern researches markets to understand evolving customer needs, market size, trends, and competition. They work closely with Product Management and Business Development Managers to understand how our individual customer’s needs relate to broader market needs to help us build products that will achieve broad market success.

We would like our student to explore opportunities for us to use software or other programs to digitize some of the work that is currently done on paper. This might include client case histories, services rendered, reporting to funders, measuring outcomes and impact and many other areas we have yet to explore.

The most important and immediate need for the marketing function is to gain “thought leadership” for Trust science as a company, its credit bureau 2.0 ® Fintech SaaS, and for its Founder CEO, Evan Chrapko, as a leader in the industry. After Evan was named as a “Leader in Lending” by the Canadian Lenders’ Association […]

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]