ShareCrowd Funded by NSERC SPG

in crowdsensing, funding, mobile computing

The project aims to develop novel algorithmic, data analytics and system solutions to lowering the barriers to participation and monetization in mobile crowdsensing. It is a collaborative project with Dr. Ruihai Wu from McMaster School of Business and Dr. Kui Wu from University of Victoria, and in partnership with OverAir Proximity Technologies and CompuClever Systems Inc.

We are currently looking for motivated post-doc researcher and graduate students to be involved in the project.

One post-doctorial researcher position:
- have completed his/her Ph.D. degree in CS or a related field
- have performed original research in the area of mobile computing with good publication records
- familiar with machine learning techniques, and experience in mobile development (Android or iOS) is a plus
- have excellent English communication skills (oral and writing)
- be able to work independently, as well as in a team;

One PhD/MASc/MSc position:
- knowledge in machine learning techniques, and have experience in mobile development (Android or iOS)
- have excellent English communication skills (oral and writing)
- be able to work independently, as well as in a team;

Interested candidates please email Dr. Rong Zheng directly.

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