Summer Research Opportunities

Summer Research Opportunities in Mathematics, Statistics and Computer Science

Every year many students completing their 1st, 2nd, or 3rd year of university studies enhance their education by spending a summer working for a member of the Department of Mathematics, Statistics and Computer Science (MSCS) as a student research assistant. If you are interested in working for a faculty member of the Department of MSCS over the coming summer, then you are encouraged to contact a potential supervisor directly and promptly. Information on the faculty members and their research interests is available at

Potential supervisors will be prepared to give project descriptions to students that may be interested in working for them and will be available to students that want to come and talk about their research.

One important departmental deadline is Monday January 27, 2014 for students who wish to apply for the NSERC USRA (Natural Science and Engineering Research Council Undergraduate Student Research Assistantship), and the Dr. H. Stanley and Doreen Alley Heaps Chair in Computing Science Undergraduate Summer Internships. The Heaps Internships are only for students with a major in computer science. These provide a significant amount of funding for students of high academic standing. Students with an 80+ average who are interested in working in the Department of MSCS or in the USRA or Heaps Internships should contact Joe Apaloo latest by Friday January 17 in person (no e-mails please), as there are a few steps to preparing the application that cannot be done at a moment’s notice. You may read more on the USRA by visiting the website: Other possible funding sources includeThe Irving Mentorship Program: Student Summer Research Internships (, and the University Council for Research.

Priority for hiring will be given to 3rd year students, students with previous NSERC USRA's, and students with previous research experience. In all cases, priority will be given to students who have potential for research work in mathematics, statistics or computer science.