PhD candidate in Network Biology/Bioinformatics for a multidisciplinary project at Maastricht UMC+, CARIM School for Cardiovascular Diseases and NUTRIM School of Nutrition and Translational Research in Metabolism (AT2015.64) The obesity epidemic is a rapidly growing health threat, but there is substantial heterogeneity in cardiometabolic risk among the obese. Current clinical practice uses metabolic syndrome diagnosis to establish cardiovascular disease (CVD) risk. This is an insensitive tool, and data suggest that a substantial proportion of individuals without metabolic syndrome are yet at high risk for CVD, and vice versa. In this project we will generate metabolomics multi-marker profiles that improve clinical decision-making by identifying obese individuals at high risk of CVD, and identify novel molecular descriptors for prevention and early diagnosis, and targets for treatment of obese individuals at high risk of CVD, independent of their metabolic syndrome status. We will use data from several large human studies, including The Maastricht Study (http://www.demaastrichtstudie.nl/research) and Diogenes (http://www.diogenes-eu.org). Details and application procedure: https://www.academictransfer.com/employer/UM/vacancy/27320/lang/en/