Dean of Graduate Studies > Scholarships and Awards > Graduate Fellowships

Graduate Fellowships

The Graduate Fellowship (GF) is a one-term award normally valued at $6,250.  Academic units, however, have the option of awarding partial GFs (.5) valued at $3,125. Applicants may be eligible to receive up to a maximum of two full GFs, or four partial GFs, during an academic year (September 1–August 31).

To be eligible to hold a GF, the applicant must be registered as a full-time, regular (not "on-leave" or "part-time") student and must normally have a minimum grade point average of 3.50 during the last year of full-time study. In exceptional cases, other evidence of outstanding ability may outweigh this criterion.

Applicants should first read the GF Terms of Reference below to ensure they meet all of the criteria for this award. 

Eligible students apply through their department of enrolment by completing an Application for a Graduate Fellowship form. It is the student's responsibilty to sign it and attach any required documents/transcripts. Applicants submit the complete GF application package to their academic supervisor for further comment and signature. 

When these steps have been taken, the GF application and accompanying documents must be submitted by the departmental deadline to the Graduate Program Assistant in the department of enrolment.

Please note: A GF is a single-term award. If you wish to be considered for another GF, you need to apply again through your department.

Terms of Reference

  1. To be eligible to hold a Graduate Fellowship (GF), a student must be registered as a full-time, regular (not "on-leave") student in a Master’s or Doctoral program.  In programs where fees are assessed on a per-credit basis, students must be taking at least six credit hours to be eligible to receive a Graduate Fellowship.
  2. Eligible students must normally have a minimum first-class (3.50) grade point average during the last year of full-time study. In exceptional cases, other evidence of outstanding ability may outweigh this criterion. Since academic merit is the primary criterion for ranking eligible applicants, departments must notify all applicants in advance if additional criteria will be used.
  3. Students will be eligible to hold a GF only during the first 9 semesters of a Master's program and during the first 15 semesters of a Ph.D. program.
  4. Students who did not complete a Master's program before transferring into a Phd are eligible to hold the GF within the first 15 semesters of their PhD, from the PhD start date. 
  5. GFs will be awarded in increments of .5, 1.0, 1.5 and 2.0. A partial GF (.5) is valued at $3,125; a full GF (1.0) is valued at $6,250. Applicants may be eligible to receive up to a maximum of two full GFs, or four partial GFs, during the academic year (September 1 – August 31).
  6. GF recipients are eligible to hold other scholarships funded from SFU sources.
  7. Graduate Fellowship recipients may accept other scholarship support from external funding sources including SFU’s ‘private’ awards (derived from annual and endowed funds). Recipients should be aware that some external awards may restrict students from holding a GF at the same time as the external award. If the total of the GF and other external support exceeds $50,000 per annum, the value of the GF will be reduced so that the total equals $50,000.
  8. There is no restriction on GF recipients receiving income for work performed during tenure of the GF.
  9. Application is made on the Application for a Graduate Fellowship. The annual application deadline to the department of enrolment is April 15.
  10. Awards are made by the Senate Graduate Awards Adjudication Committee on the recommendations of the Departmental Graduate Program Committee.

Revised: May 2013

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Defences and Events

  • Adhi Susilo PhD Education Thesis Examination
    10:00 AM - 1:00 PM
    May 30, 2013
    No Description
  • Haiyang Wang, Phd defence, Comp Sci
    11:30 AM - 1:30 PM
    May 30, 2013
    Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair
  • PhD Defence, Haiyang Wang, Comp Sci
    11:30 AM - 1:30 PM
    May 30, 2013
    Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair

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