Globalink Research Award

Mitacs Globalink Research Award supports international research collaborations through student and postdoc research abroad. We have created a marketing toolkit to help promote the opportunity to students and postdocs in Canada. Please feel free to customize these example posts. Thank you for getting the word out!

 

Three ways to find a professor for a Globalink Research Award collaboration

Connecting with a professor in a foreign country can be a daunting task, so we’d like to offer a few tips to make it easier.

1. Consult with your Canadian professor

Internship to study mate-choice copying in sailfin mollies using computer animation

There is no memorandum project overview associated with this application.

Free Electron Laser research on atoms, molecules, and clusters

There is no memorandum project overview associated with this application.

Impact of a rehabilitation program on EMG-EMG coherence in stroke patients

Stroke is the third leading cause of death in Canada and France, and a major cause of disability world wide. Physiotherapy rehabilitation programs are used to improve movement through neural adaptations, also known as neural plasticity, in stroke patients.

Technology in Geography

The Technology in Geography research project analyzes how teachers within Chinese high schools use technology and Geographic Information Systems (GIS) within geography classes to aid in delivering course material. Coming from an educational background that was highly centred on using GIS, I find it critical to include GIS technologies within Geography as a way to engage students and introduce them to the technologies that are available to them. Within Canada, more specifically in Ontario schools there are very few teachers who integrate technology within geography classes.

Automatic 3D reconstruction of Indoor Environments from Consumer-graded Cameras

With the increase demand of 3D models in urban environment, automatic indoor modeling has attracted more attention for human trajectory identification, facility management and indoor navigation. To reconstruct indoor models quickly and reliably, this project will propose a new indoor reconstruction method to automatically generate indoor semantic building models through building ground maps and images from consumer-graded cameras. The image of building ground maps will be over-segmented and later semantically classified as ceilings, walls and other indoor elements.

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