CAIMS/PIMS Early Career Award
The prize is to be awarded to a researcher less than ten years past the date of Ph.D. at the time of nomination (i.e. 2006 or later for 2016 prize). The prize recognizes exceptional research in any branch of applied mathematics, interpreted broadly. The nominee’s research should have been conducted primarily in Canada or in affiliation with a Canadian university.
The award will consist of a cash prize of $1,000 and a commemorative plaque that will be presented at the CAIMS Annual Meeting. The recipient will be invited to deliver a plenary lecture at the CAIMS Annual Meeting in the year of the award. A travel allowance will be provided.
Nominations shall consist of:
- a curriculum vitae
- a publication list
- a cover letter explaining the basis of the nomination
- a maximum of three additional letters of support, at least two of which should be from references who are neither former PhD/postdoc mentors nor collaborators. In the case of very interdisciplinary research, the support letters should address the nominee’s contributions in both applied mathematics and the area of application.
Only electronic submissions will be accepted.
Unsuccessful nominations for candidates who continue to meet the eligibility criteria may be renominated with an updated CV and publication list, and if desired, new letters of support.
To submit an application for this award, go to Nominations
2017 Prize Winner: Ben Adcock
Dr. Adcock received his PhD in 2010 from the Department of Applied Mathematics & Theoretical Physics at Cambridge. Since leaving Cambridge, he has received a post-doctoral fellowship at Simon Fraser, and has held a faculty position at Purdue University. In 2014, Professor Adcock returned to Simon Fraser, taking up his current position as Assistant Professor in the Department of Mathematics there.
Dr. Adcock’s research interests are broad. They include (but are not limited to) numerical analysis, signal processing, and sampling theory. He has been described as a researcher who attacks classical problems “with a distinctly modern flair” and with “exceptional technical skill and creativity.” It is no wonder, then, that Adcock’s work promises to encourage advances in medical imaging, microscopy, and data mining.