Students admitted to, or currently enrolled in, any doctoral program at the University of Michigan are eligible to apply for training and funding through ITiMS. ITiMS is not a degree program unto itself, but an interdisciplinary training program designed to enhance your research skills. For information about applying to doctoral programs at U-M, go to the U-M Gateway to see a list of graduate schools and colleges.
ITiMS is an interactive cross-training program. Students selected for the program will complete requirements for their Ph.D. in a specific discipline while receiving training in additional disciplines that integrate with their research interests. As part of the program, students will work with faculty mentors selected from 18 departments and 7 schools, colleges or institutes across campus.
Funded students will receive a graduate student research assistantship (GSRA) for up to two years. During this time, they’ll complete required coursework in mathematical modeling, and population and laboratory approaches. ITiMS students are also expected to integrate laboratory, population, and modeling approaches in their dissertation.
Anyone interested in receiving updates and news regarding the ITiMS program may do so by sending an email to ITiMSfirstname.lastname@example.org. Members of the U of M community can join via MCommunity, just search for ITiMS-subscribe.
Dates & Deadlines
|Application Due||Decisions Reached|
|February 9, 2019||March 1, 2019|
CURRENT STUDENT STATUS
You must be an admitted or current student in a doctoral program at the University of Michigan in order to apply to ITiMS.
You must be nominated by two faculty members — one with laboratory expertise, and one with expertise in either mathematical modeling or population approaches. Nomination letters should include a description of your strengths and appropriateness for the program. These faculty will be your co-advisors for your dissertation. One advisor will come from your home department. The other can come from any department at U-M as long as the faculty member has the required expertise and is willing to join the ITiMS training faculty. Nominators should include the follwoing statement: “I understand that as an ITiMS mentor I will be a cochair for <student’s name> dissertation or serve on the dissertation committee, and will ensure that <student’s name> completes all ITiMS requirements.”
Submit both undergraduate and graduate transcripts. Submitting scans of your personal transcript copies is OK — you do not need to have new copies sent from the institution.
Submit a current copy of your C.V.
LETTERS OF RECOMMENDATION
These letters can be the same as those you used to apply to your graduate program. Typically, you’ll have two to three letters. These letters do not have to be from faculty.
You may submit scans of your personal copies of your test scores. You do not need to have scores sent directly from the GRE testing company. Test scores are valid for five years from the date of the test until the ITiMS application deadline.
Complete three brief essays (500 words or less each) on the following questions:
- Describe your career and your scientific interests.
- Describe why you want to participate in the ITiMS training program. Please discuss how your current work fits with ITiMS goals.
- Describe your experience with mathematical modeling coursework or training. "None" is an acceptable response. See below for details.
DESCRIPTION OF COURSEWORK IN MATHEMATICAL MODELING
Students interested in ITiMS are encouraged to have previously taken or be currently enrolled in a mathematical modeling course. As part of your application, include a brief (no more than 1 page) description of your experience with mathematical modeling coursework or training. Suggested courses in this area at U-M include:
- EEB 466: Mathematical Ecology
- EPID 633: Introduction to Mathematical Modeling in Epidemiology and Public Health
- EPID 634: Foundations in Infectious Disease Transmission Modeling
- MATH 462: Mathematical Models
- MATH 463: Introduction to Mathematical Biology
- MATH 550: Introduction to Adaptive Systems
- MICRBIOL 510: Mathematical Modeling of Infectious Diseases
Submitting Your Application
Assemble your application materials into one PDF and give the file to your co-advisors to submit, along with their letters of nomination. Application materials should be sent to email@example.com.