Prospective Graduate Students
The McLachlan Lab in the University of Notre Dame’s Department of Biological Sciences is looking for PhD students interested in ecological forecasting, especially in forecasting the long-term dynamics of vegetation in terrestrial and coastal ecosystems. Our lab forecasts changes in these ecosystems based on field measurements, controlled experiments, and mechanistic models of ecosystem processes. The lab is associated with the Ecological Forecasting Initiative (ecoforecast.org), with whom we work to make the field of ecological forecasting more inclusive and diverse. Prospective graduate students would also have the opportunity to be involved with these activities. Applicants should have interest and proficiency in one or more of the following: ecological modeling; Bayesian statistics; the long-term dynamics of vegetation; and/or undergraduate research training.
Remote Grad or Postdoc Position to Develop Ecological Forecasting Educational Resources
The McLachlan lab at the University of Notre Dame has funding from the Alfred P. Sloan Foundation to support a graduate student or post doc research assistant to work remotely with Ecological Forecasting Initiative (ecoforecast.org) collaborators to develop inclusive, accessible, and culturally relevant ecological forecasting education materials targeted mainly for undergraduate level students. The topics and types of materials developed are flexible, depending on the candidates interests and the interests of the professors and students they are working with. The student or postdoc will work closely with faculty and students from Humboldt State University (HSU), Salish Kootenai College (SKC), University of New Mexico, Gallup (UNMG), University of Minnesota, Boston University and the University of Notre Dame. In particular, HSU, SKC, and UNMG serve a high proportion of Hispanic and Indigenous students, representing the target demographics of the educational materials to be developed.
The ideal candidate will have a strong interest in inclusive pedagogy, be able to work independently to create educational modules, exercises, and materials, and is expected to work closely with collaborators and students to get feedback on developed materials. Knowledge of R is preferred and experience creating R Shiny Apps is desired.
The individual hired will conduct all project work remotely from their home institution for 15-20 hours per week. The University of Notre Dame will not provide any computing equipment, supplies, or travel funds. The anticipated start date for this one-semester appointment is January 2022, with the possibility for one additional semester. Payment will be set up as a subaward through the student or post doc’s institution and will cover the stipend and fringe benefits. The student or post doc’s home institution must agree not to take indirects on the subaward, per Sloan’s requirements. The student or post doc’s advisor must be in support of this arrangement and we will work closely with the individual hired and their advisor to coordinate details around required amount of effort and timing. We will also work with the student’s advisor and institution’s Office of Sponsored Projects to set up a subaward for funding.
To apply: Send a CV and cover letter describing your interest in this project and the contact details of your advisor. Send application materials, questions, or general inquiries to Jody Peters (email@example.com).
We are always looking for interested and motivated undergraduate students to work on independent and ongoing research projects in the lab. If you are interested, please email Jody Peters with a brief description of your background, goals, and any projects in the lab that interest you.
You can check out the work current undergraduates are doing in the lab on the People page.