graduate schools

Graduate Programs (as received from graduate program coordinator)

- RIT PhD Program in Mathematical Modeling 

Dear Dr. Reynolds,

I’m sending this email to let you know about RIT’s PhD Program in Mathematical Modeling that started in 2017. This PhD Program is designed to train students to become experts in formulating complex real-world problems mathematically, integrating data with models, devising and implementing algorithms, analyzing and interpreting solutions, and communicating results to others. It integrates applied mathematics with scientific computing, including high-performance computing, and it is interdisciplinary in nature, encompassing the physical, life, medical, and computational sciences. 

If you know of any students at your university who might be interested in our program and whose undergraduate majors are in mathematics or other fields of science, technology, or engineering, and whose study provides sufficient mathematical background, please feel free to refer them to us. We’d also be happy to meet personally with any students who might be attending the Joint Mathematics Meetings 2022 in Seattle; we will have faculty members representing our program at the Grad School Fair that occurs at the JMM on Friday, January 7, from 8:30 – 10:30am.

Nate Cahill

Nathan D. Cahill, DPhil
Pronouns: he / him / his
Director, PhD Program in Mathematical Modeling
Associate Professor, School of Mathematical Sciences 
Rochester Institute of Technology

- Chicago Booth Business School 

Good morning,

I write to announce the beginning of this fall’s pre-doc hiring cycle at the University of Chicago Booth School of Business, and to provide information on how these pre-doctoral positions can help your students.  Pre-docs (sometimes called Research Professionals or full-time RAs) are two-year appointments working directly for faculty on their research in the quantitative social sciences (QSS).  Students who are interested in graduate study in QSS fields but do not yet feel ready for a PhD program, or who are uncertain whether they want to pursue a PhD, find these positions to be especially useful.  Students with rigorous quantitative backgrounds outside of the social sciences (e.g., physics, engineering) have used the pre-doctoral path to transition into QSS programs.  Through their work for faculty, pre-docs expand their research toolkit, learn more about the research process, and pick up important credentialing through faculty letters of reference.  These are competitively paid positions with full benefits.

If you know of students at any stage in their undergraduate career who might be interested in a research career, please encourage them to visit our website to learn more.  Students can sign up to hear about new job opportunities when they are ready to apply (e.g., a freshman could sign up to hear about new postings in three years).  The PREDOC Consortium also provides a wealth of programming and information sessions, as well as guides to the pre-doc application process.  PREDOC’s offerings are growing rapidly, so students should check back frequently.

Staff at Booth and PREDOC are more than happy to answer any questions you have about pre-doctoral opportunities.  Please reach out to or with any questions or to arrange a meeting.  Please don’t hesitate to reach out as one of our goals at Booth is to reduce as much as possible the informational frictions surrounding these positions, to help you advise your students effectively.


Stephen Lamb

Senior Associate Director, Faculty Support

Faculty and Academic Services


The University of Chicago

Booth School of Business

5807 S. Woodlawn Ave.



Phone: +(1) 773-834-2539

Fax: +(1) 773-702-4480


- TAMU Department of Statistics



Attached to this email you will find a flyer advertising the Ph.D. program and M.S. program in Statistics at Texas A&M University in College Station, Texas.

Please circulate it among the undergraduate students in your department.

Please contact me if you have any additional questions.




Andrea Dawson 

Academic Advisor II

Department of Statistics

424 Blocker Building

3143 TAMU

College Station, TX 77843-3143



Schedule an Appointment:


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