The Math, Computer Science, and Statistics (MCS) Division of CUR is pleased to announce three awards to honor mentors for their success in mentoring undergraduate students in research. Faculty mentoring interdisciplinary projects are encouraged to apply as long as those projects involve a major mathematics, computer science, or statistics component.
Typically, one award will be made in each of the three categories below, but in the case of
exceptional applications, more than one of the awards may be given in the same category.
- Early Career: Faculty who are 0-7 years past their Ph.D.
- Mid Career: Faculty who are 7-15 years past their Ph.D.
- Advanced Career: Faculty who are 15+ years past their Ph.D.
By March 31 each year, applicants should complete the mentoring award application.
- Applicant Letter: The mentor will provide an explanation of their cumulative mentoring activities involving undergraduate research students. The letter should clearly link to the Evaluation Criteria Sheet and should include a brief discussion of the applicant’s mentoring goals and/or philosophy. (Two page limit).
- Curriculum vitae: List only details relevant to applying for the award including brief bio info for applicant (e.g., contact and education info), names of undergraduate students mentored, presentations by these students, publications by these students, awards received, etc. , see Evaluation Criteria Sheet (Two page limit).
- Letter from a Colleague: A recommendation letter from a colleague of the applicant who can address the applicant’s mentoring of students in undergraduate research (two page limit).
- Letters from Students: Two recommendation letters from students who were mentored by the applicant. One such letter must be from a student who was mentored by the applicant within the past five years (One page limit for each letter).
The CUR MCS Councilors will review the completed applications will determine the award winners. The winning mentors will be notified at the end of May. We look forward to reading your applications and learning about the experiences and successes undergraduate students are having in undergraduate research.