This position should be filled as soon as possible.
The regular working hours will be 37.5 hours per week (full time) with a limited contract of 10 months. The gross salary is 1896€/month. Options for continuation will be considered depending on results and funding opportunities.
The appointed post-doctoral researcher will contribute to the research project “COVID-SHINE. Understanding the spatio-temporal social determinants of health to improve agent-based modelling of recurrent COVID-19 outbreaks”, funded by the “La Caixa” Foundation. The project is a joint collaboration between the Pompeu Fabra University (UPF, PI: Prof. J. Benach) and IFISC (PI: Dr. V.M. Eguíluz) and the team is composed of an interdisciplinary group of scientists coming from the social sciences and physical sciences.
The project has two general aims: (1) To enhance the ability of modelling strategies to predict the dynamics of recurrent outbreaks of COVID-19 by incorporating novel knowledge of the social determinants of health, and (2) To develop an integrated systems framework to help to inform policies, emphasizing the reduction of health inequalities. The specific objectives are: (1) To examine significant social determinants of health unexplored in previous epidemiological studies; (2) To generate new evidence on the role of social determinants of health, both at the individual and small-area level, as well as their possible interactions; (3) To analyse how these one- and multi-level associations determine different evolutions of the cumulative COVID-19 incidence at the small-area level over time; (4) To develop Agent-based models (ABMs) that incorporates the associations found in the previous objectives; (5) To develop an integrated systemic framework, useful to guide decisions and propose sound policy recommendations; and (6) To provide and disseminate timely information with our findings and recommendations.
The appointed post-doctoral research fellow will mainly focus on the development of Agent-based models that incorporate the effects of social determinants of health.
The successful candidate will hold a PhD in in Physics, Mathematics or a closely related discipline and it is desirable that she/he has
experience in working with epidemiological models (SIR-type models) both at simulation and analytical level.
experience in data analysis.
Please send your application with your CV and a few lines stating your motivation and specific issues of interest to: firstname.lastname@example.org.
For further inquiries please contact Juan Fernández-Gracia at: email@example.com