CSTAT is recruiting a graduate student RA for Spring 2025
Attention graduate students: The Center for Statistical Training and Consulting (CSTAT, http://cstat.msu.edu) will be interviewing applicants for Research Assistant (RA) positions for Spring 2025 (01/01/2025-05/15/2025) with possible continuation into future semesters depending on performance, staffing needs, and available funding. These RA positions are an excellent opportunity for students to get experience with applying statistical methods to interesting research topics, developing consulting skills, learning from experienced mentors, expanding your professional network, and add some collaborative papers to your resume.
How to Apply
Doctoral students with strong quantitative methods, statistics, and research design skills are invited to apply by emailing all of of the following to cstatinf@msu.edu by 5:00 PM on Friday, 11/15/2024:
- Cover letter.
- Resume or curriculum vitae (CV): Make sure that you list all of your research experience, publications, & presentations.
- CSTAT RA Application Form: click here to download. (Please include all graduate-level statistics & quantitative methods courses you have taken and contact information for at least 2 professional references.)
Your CSTAT supervisor will be the Associate Director Dr. Greg Hixon who joined us in June 2024. He has vast experience in mentoring graduate students and in consulting, including for the Texas legislature and the Texas Department of Health and Human Services. You will be supported by the whole CSTAT Team learning new statistical methods and navigating collaborations.
Students with experience at CSTAT have had an excellent record getting postdoctoral positions, faculty positions, and non-academic jobs. Here are a couple quotes from past RAs:
“Of all the things I did while at Michigan State, CSTAT, without question, had the biggest influence on my professional and academic trajectories. The mentoring and the community offered at CSTAT helped me to gain confidence in my ability as an applied statistician, and to better understand my trade.”
“CSTAT has been an integral part of my PhD. training. It was a way of expanding my avenues with respect to the variety of applications I had the opportunity to solve different types of statistical problems in. It was a place where I was exposed to many perspectives of the way this subject is viewed and tweaks in methodology carefully employed to fit the application. I also became much less afraid of data analyses and truly learned the need for rigor in it. My resume stood out of the crowd due to CSTAT and I got a much broader view of statistics and its place in the sciences and social sciences alike.”
For more details, please see the full announcement: Link