|Value||Domestic and International*: $10,000/year for up to 48 months. Awards are in addition to
standard York University graduate student funding and/or external funding.
(*International students may be eligible for additional funding to offset international student fees).
|Application Deadline||March 31, 2017|
|Application Procedures||See below|
|How to Apply||
*Internal applicants are individuals who are currently enrolled in a York University Graduate Program.
|For More Information||See below|
Vision: Science to Applications (VISTA) is a collaborative research program funded by the Canada First Research Excellence Fund (CFREF, 2016-2023) that builds on York’s world-class interdisciplinary research in biological and computer vision. VISTA spans five York faculties (Health, Engineering, Science, Arts Media Performance & Design; Liberal Arts & Professional Studies), five research centers (including the Centre for Vision Research), and over 50 partners in the international research community and non-academic sectors such as healthcare and industry.
The central scientific question that drives VISTA is ‘How can neural and/or machine systems be integrated to provide adaptive visual behavior in real-world conditions’. Answering this question will provide fundamental advances to vision science and exciting, widespread applications for visual health and technologies. Our overarching aim is to advance visual science through research that spans computational and biological perspectives and results in real-world applications.
Scholarships will be awarded competitively based on the strength of the candidate, the strength of the research proposal, and fit with the goals of the VISTA program.
The VISTA Training Scholarship will provide financial support to high-caliber scholars doing research that is aligned with the VISTA program under the supervision of a VISTA core member. VISTA Associate Members are eligible to co-supervise with a Core Member. This support provides funds in addition to standard York University and/or external support to attract and train leading vision researchers of tomorrow.
VISTA will support interdisciplinary training programs across its core fields and will support training opportunities with partners in industry and public service that will enhance the student experience. Funding is available for up to four years and is in addition to base graduate student stipends. The selection process and post-award administration are carried out by the VISTA Training Committee and the VISTA Administrative Staff in collaboration with the Faculty of Graduate Studies at York University. Following acceptance to an eligible home department, and confirmation of a VISTA core member supervisor or co-supervisor, students submit their application to email@example.com by the application deadline.
To be eligible to apply:
- You must be accepted for full-time admission to an eligible graduate program at the doctoral level at York University, or be in the process of applying. You must be registered as a new doctoral student in the program to hold the scholarship;
- Your application must be supported by a VISTA Core Member who would become your supervisor, or by a VISTA Associate Member in co-supervision with a Core Member;
- You must conduct research in the vision sciences that is aligned with the VISTA program.
Program of Study Eligibility
VISTA Core Members will generally have an appointment in one or more of the following graduate programs:
- Kinesiology & Health Science
- Electrical Engineering & Computer Science
- Physics & Astronomy
- Mathematics & Statistics
- Science & Technology Studies
- Visual Arts
The applicant must conduct research that is considered to be original, autonomous and leads to the completion of a thesis, major research project, dissertation, scholarly publication, performance, recital and/or exhibit that is merit/expert-reviewed at the institutional level as a requirement for completion of the program. The topic of the thesis research should contribute to VISTA’s mandate, which is to support fundamental and applied vision research that combines biological and computational perspectives and has translational potential for health, industry, or other applications.
Applicants, along with their supervisor, complete, sign and email an application to firstname.lastname@example.org. Applicants may consult the application instructions for more information on how to complete an application.
Applicants are also asked to complete and submit a self-identification survey. Personal information in connection with this survey will be used for educational, administrative and statistical purposes only and will be stored by the VISTA Administration Staff and the York Centre for Human Rights to maintain confidentiality. The form is completely voluntary and will not be used in the evaluation of the application.
- Application deadline: March 31, 2017. Applications must be submitted by the deadline to email@example.com.
- Results deadline: Results can be expected to be communicated by May 26, 2017.
- Acceptance and declines of offers: Applicants will have 21 days from the date of each offer of award to accept or decline. Replies can be sent to firstname.lastname@example.org. The status of offers not accepted or declined within the 21 days will automatically be considered Declined.
The VISTA Training Committee at York University is responsible for coordinating the selection process for the VISTA Training Scholarship applications, and for performing the preliminary review and ranking. The Faculty of Graduate Studies will review and make decisions on awards, and will communicate the results to the Training Committee.
The merit review of VISTA Training Scholarship applications will be carried out by the VISTA Training Committee and will be based on the following criteria:
|Academic Excellence||As demonstrated by past academic results, transcripts, awards and distinctions.
Indicators of Academic Excellence:
|Research Potential/Experience||As demonstrated by the applicant’s research history and his/her interest in discovery.
Indicators of Research Potential/Experience:
|Excellence of the Research Proposal and Training Plan||As demonstrated by the proposed research, its potential contribution to the advancement of knowledge in the field, and any anticipated outcomes.
|Innovation, Leadership & Initiative||As demonstrated by the applicant’s past professional and relevant extracurricular interactions and collaborations.
Indicators of innovative activities and initiative: