Postdoctoral researcher position for ERC-ADG ECHO project

The Spanish National Research Council (CSIC) is recruiting Post-Doctoral candidates to collaborate in the Horizon 2020 ERC funded research project, ECHO, PI. Alberto Palloni, hosted by the Institute of Economy, Geography and Demography (IEGD), a member of the Population Europe network.

The project ECHO (Early conditions, delayed adult effects and morbidity, disability and mortality in modern human populations) is a research project funded under the Advanced Grants program of the European Research Council. Its main goal is to conduct research on the Developmental Origins of Health and Disease (DOHaD), to understand the epigenetic mechanisms and events in individuals' life course through which early experiences are manifested as delayed adult effects, to assess the demographic impacts on chronic illnesses, disability and mortality with particular emphasis on obesity, Type II Diabetes, and associated conditions and, finally, to formulate and empirical test formal models of the future evolution of these health outcomes under conditions to which modern populations are exposed.

The project, headed by Alberto Palloni, is searching for candidates with a background in at least one of the following areas: Demography, Epidemiology, Biostatistics, Public Health and Sociology. The candidates should be willing and interested in joining a highly multidisciplinary and international team.

A full description of ECHO is in the project website .

The ECHO project is looking for a candidate who:

• can organize databases on older adults based on surveys carried out in Europe and the USA;
• is familiar with R to write code to estimate relationships between health biomarkers, epigenetic marks and demographic characteristics and reformulate physiological and epigenetic clocks to predict obesity, type 2 diabetes and mortality;
• formulates and estimates multistate risk models to estimate transition rates between states characterized by different health status;
• is familiar with mixed linear Bayesian models (BLMM); and, 
• can carry out meta-analysis of studies of determinants of obesity and T2D.