This email circulated on ALLSTAT may be of interest to someone here:
We would like to announce two full-time 4-year structured PhD projects in statistical modelling for infectious diseases. The PhD positions will be based in the Department of Mathematics and Statistics at University of Limerick and the Discipline of Statistics and Information Systems at Trinity College Dublin. Both projects are fully funded including fees, a tax-free stipend and expenses for computing equipment, conference travel and materials.
Overview of PhD topics: Infectious disease experts and immunologists warn that COVID-19 will not be the last disease X we experience. These PhD projects will develop state-of-the-art modelling tools to prepare for the eventuality of the next disease X arriving. This will involve novel enrichment of current modelling strategies as well as developing new approaches for streaming data on infectious diseases.
The projects will be supervised by Dr. James Sweeney (University of Limerick) and Dr. Jason Wyse (Trinity College Dublin), with many opportunities for travel and collaboration between institutions and within the research team. A full description of the positions, including details on the application process is available at https://www.scss.tcd.ie/~wyseja/positions/ID-PhD-advert.pdf. Closing date for applications is Friday 14th April 2023.
I wonder if I can get into this without any knowledge in statistical modelling 😅
Alternatively, what's a good way to gain become proficient in that? I do have a master's in applied mathematics.
By April 14? You are brave!
I'm just guessing, but I imagine it would involve a ton of coding in practice, and tinkering with variations of existing models to make them work.
To start from nothing, this book I heard about on Gelman' blog comes to mind: https://dataorigami.net/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/