Short-Term Research Assistant Service

MPC members can apply to use the services of a 20-hour per week graduate research assistant for a short period of time (typically up to 4 weeks). Priority is given to projects that (a) have a population studies focus, broadly construed; (b) can quickly result in a publication and/or grant proposal; (c) can clearly benefit from short-term research assistance; and (d) do not already have external funding. Preference will be given to junior faculty. All MPC faculty, postdocs, and research staff members are eligible to use this service.

To apply for this service, please complete this form with the following information:

  1. Your name and departmental affiliation

  2. Details about your project: A title and a short (~2 paragraph) description of the overall project's goals and activities

  3. Describe the relevance or alignment of the project with the MPC's primary research areas

  4. Information about the product that will result (e.g., a publication, a grant proposal, a conference presentation) and when that product will be produced

  5. A statement about current external funding support for the project

  6. A description of the specific activities the research assistant would do and (if not obvious) how they fit into the overall project

  7. The number of weeks the research assistant's services would be needed (at 10-20 hours per week) and a proposed starting date

Questions? Contact us at mpctrain@umn.edu

Beginning Summer 2022 short-term RA is trainee Emily Kurtz.

Emily's Skills and Experiences: 

Skills:

R, Stata, LaTeX, Microsoft Office

I'm most familiar with R (ideally) or Stata. I worked somewhat frequently with SQL in my old job, which I left in 2017, but it may come back to me. I've also worked with GIS, Python, Mathematica, MATLAB, SPSS, and probably more, but this would be me really going a decade back in my memory to pull it out. I'm happy to do so, but it would be less efficient with my and the project's time.

Experience:

Statistics broadly (regression, MLE, design of experiments, etc.), machine learning, data cleaning, data visualization

General experience working with people from disciplines far different from my own through 2 semester doing stat consulting with IRSA and working with people in medicine, horticulture, Spanish, education, etc.

See Emily's CV for more skills and experiences.