PhD Position F/M [Numetab project] High-dimensional data analysis in the framework of survival modelling in presence of competing risks

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The PhD candidate will join both the Datavers team based in the Inria center at the University of Lille (France) and the METRICS unit research based in the Faculty of Medicine at the University of Lille. Inria Datavers team is specialised in statistical learning and her members also belong either to Paul Painlevé laboratory or METRICS. Research of Paul Painlevé laboratory covers a broad spectrum of mathematical research. METRICS is a multidisciplinary public health research team that brings together clinicians and methodologists in the fields of ergonomics, biostatistics, medical informatics, data science and health economics. The aim of the PhD thesis is to develop a new statistical method for variable selection in the context of survival analysis, with competing risks, where measurements are repeated over time on thousands of variables simultaneously. This PhD project is funded by the Numetab cross disciplinary project (Numerical transition in Obesity and Metabolic Research, PI: Pr. Pattou and Pr. Marot). The application will be to identify new omics markers (transcriptomics, metabolomics, proteomics) for predictive purposes in order to adapt patients’ treatment (Precision Health). The originality of the statistical approach consists in simultaneously addressing three scientific challenges: i) high-dimensional analysis (more variables than individuals), ii) analysis of competing r