The Natural Hazards Group at the Barcelona Supercomputing Center seeks an internationally recognized researcher to provide scientific leadership in climate, atmospheric, hydrological and environmental risk modeling.
The successful candidate will combine extensive experience in numerical weather prediction, climate modeling, hydrological forecasting, climate extremes, artificial intelligence, and high-performance computing. The position requires a strong track record in leading multidisciplinary teams, supervising researchers and students, coordinating international projects, and translating scientific advances into operational services and decision-support systems.
The researcher will play a key role in strengthening the integration between Earth System Models, atmospheric models, hydrological models, AI methodologies, and climate services for risk management and adaptation to climate change.
Key Duties
Lead research activities on climate variability, climate change, teleconnections, extreme events, droughts, floods, heatwaves, wildfires and compound hazards, and coordinate scientific teams working on atmospheric, hydrological and climate risk modeling.
Provide scientific leadership to multidisciplinary teams working on atmospheric, hydrological and environmental risk modeling.
Develop strategic research lines aligned with European and international funding priorities.
Develop and coordinate advanced modeling frameworks integrating atmospheric, hydrological and Earth System Models, leveraging High-Performance Computing (HPC) infrastructures.
Optimize large-scale simulations in HPC environments and coordinate the development of coupled atmosphere-hydrology-impact modeling frameworks.
Design and supervise workflows integrating atmospheric, Earth System, hydrological and hydrodynamic models (e.g., MPAS, WRF, WRF-Fire, CESM2, EC-Earth, SMAP, SWAT, HEC-HMS, IBER and HEC-RAS).
Develop methodologies for heatwave assessment, drought monitoring, flood forecasting, wildfire danger prediction, landslide susceptibility, water resource management, energy-climate interactions, and advance impact-based forecasting and climate adaptation services.
Lead the application of Artificial Intelligence methodologies, including Machine Learning, Deep Learning, Explainable AI and Large Language Models (LLMs), for environmental prediction, climate services and decision-support systems.
Lead the preparation and coordination of European and international research projects, including funding proposals, project deliverables, milestones and stakeholder interactions.
Foster collaborations with international research institutions, governmental agencies, civil protection authorities, energy companies and other relevant stakeholders.
Supervise postdoctoral researchers, PhD candidates and early-career scientists, promoting scientific excellence, mentoring and knowledge transfer.