Researcher - Modelling Tools For Climate And Health (R2) -Ai4S

.Job Reference 579_24_ES_GHR_R2 Position Researcher - Modelling Tools for Climate and Health (R2) -AI4S Closing Date Monday, 16 September, 2024 Reference: 579_24_ES_GHR_R2 Job title: Researcher - Modelling Tools for Climate and Health (R2) -AI4S About BSC The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.Context And Mission The Global Health Resilience (GHR) group led by ICREA Research Professor Rachel Lowe at the BSC-CNS is seeking a highly motivated postdoctoral scientist to conduct cutting-edge methodological research on tracking past, present and future health risks posed by climate change, environmental degradation, human movement and other global change processes. The mission of the GHR group is to apply a transdisciplinary approach to co-designing policy-relevant methodological solutions, to enhance surveillance, preparedness and response to climate-sensitive disease outbreaks and health outcomes. The group conducts cutting-edge methodological research on disentangling the impacts of global environmental change on infectious disease risk and co-developing impact-based forecasting models at sub-seasonal to decadal timescales in collaboration with public health, disaster risk management, and humanitarian agencies. The GHR group works closely with the Earth System Services (ESS) group, whose mission is to research the impact of weather, atmospheric chemistry and climate upon socio-economic sectors, including renewable energy, agriculture, water management, forest fires, urban development and health and demonstrate the ongoing value of earth system services to society and the economy. The selected candidate will co-develop innovative modelling ensembles using statistical, machine learning and mathematical modelling approaches, informed by a combination of open-source and decision-maker provided data. These innovative modelling frameworks will feed into decision-support toolkits at multiple spatial scales and different forecasting horizons for a diverse set of users. The candidate will interact with international partners of projects funded by the Wellcome Trust and Horizon Europe, covering topics including early warning and response systems, health impact attribution, and digital twins