Postdoctoral fellowship: Mathematical modelling for infectious disease management

We are seeking a postdoctoral fellow to derive and analyze mathematical models for infectious disease management. The ideal candidate will have strong training in the formulation and analysis of population dynamic models, good written and oral communication, and strong computational abilities. Expertise in any of the following areas is an asset: stochastic processes, optimal control theory, metapopulation models, network analysis, and statistics. The postdoctoral fellow is expected to develop research that contributes broadly to disease ecology, while also informing public health policy for COVID-19 management.

Specific research projects may include:

1. Spatial optimal control to delineate the geographic scope of testing and mandatory self-isolation given the location of positive tests and contact networks;
2. The efficacy of geographically defined mandatory self-isolation requirements relative to, and in combination with, various forms of contact tracing;
3. The optimal allocation of mandatory testing and self-isolation between travellers and residents;
4. Comparative statistical analysis of COVID-19 outbreaks, and mechanistic modelling to support hypothesized drivers.

The candidate will be supervised by Drs. Amy Hurford (https://amyhurford.weebly.com/) and J.C. Loredo-Osti (https://www.mun.ca/math/people/ppl-faculty/loredoos.php) at Memorial University. The candidate may work remotely, but must be able to take up residence in Canada. The position is for two years with an annual salary of $49K + 12% benefits.

Please email your application as a single *.pdf file to ahurford@mun.ca. The application should include: (1) a cover letter describing your motivation to apply and your relevant training and expertise; (2) a CV; and (3) the contact information for three references. We value equity, diversity, and inclusion and encourage applicants of all backgrounds to apply. Review of applications will begin on August 26, 2020, and continue until the position is filled.