Completion Scholarships
Applications are now open for PhD Completion Scholarships. Closing Date: 31st August
In the August 2007 round of offers approximately 20 Completion Scholarships will be awarded to full-time PhD students for up to a maximum of 20 weeks. Priority will be given to applicants who have not previously, or recently, received scholarship support and Completion Scholarships should not be viewed as a second extension of a current scholarship. As limited funds are available, priority will be given to applications for funding for periods of less than the full 20 weeks. Selection will be based on thesis progress to date, strength of recommendation from the School, details of completion plan, and publications record (if applicable). These scholarships are available only to those students completing a PhD - they are not available to Masters students.
Completion Scholarships will be paid at the current rate of the University Postgraduate Award of $19,616 per annum and will initially be paid from School/Faculty accounts. Please note that revised conditions, as determined by the Scholarships Committee, apply to all new Completion Scholarship awards in 2007. If the thesis is not submitted by the due date, there will be a financial penalty to the School and 100% of the funding will be lost - there will be no reimbursement from central scholarship funds.
Nomination forms and details are available on the Scholarships website.
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About robyn.owens
I started my academic life doing a BSc (Hons) in Mathematics at UWA before going to Oxford to complete an MSc and a DPhil, also in Mathematics. I then spent three years in Paris at l'Université de Paris-Sud, Orsay, continuing research in mathematical analysis and going to lots of movies before returning to UWA to work as a research mathematician.
I have lectured in Maths and Computer Science at UWA, as well as for short periods at Berkeley, The University of Canterbury in Christchurch, and Prince Songkla University in Thailand. My research has focussed on computer vision, including feature detection in images, 3D shape measurement, image understanding, and representation.