Context And Mission
The mission of the Earth Sciences Department of the Barcelona Supercomputing Centre, led by Prof. Francisco Doblas-Reyes, is to carry out research and develop methods for environmental forecasting, with a particular focus on the atmosphere-ocean-biosphere system. This includes the management and transfer of technology to support key societal challenges through the use of models and data applications in High Performance Computing (HPC) and AI infrastructures. It also includes the dissemination of real-time air quality and climate information based on its research expertise in collaboration with the Spanish authorities and the World Meteorological Organisation (WMO).
The successful candidate will join the Computational Earth Sciences group to co-lead the Artificial Intelligence Team, which is responsible for developing and applying machine learning and AI methods, including deep learning models, emulators, and data-driven techniques, to advance climate and earth system research. The team contributes AI expertise to major EU-funded initiatives, including Climate-DT / Destination Earth, ELLIOT, CONCERTO, TerraDT, EXPECT, among others, translating cutting-edge AI research into tools and services with real scientific and societal impact.
The AI Team plays a growing role in the department’s research, bridging fundamental AI research and its application to climate and Earth science challenges. It has strong links with the other teams in the Computational Earth Sciences group and with the research groups across the department.
Key Duties
Co-lead the coordination and supervision of a team of around 15 research engineers and scientists, alongside the current Team Lead.
Lead the planning, execution, and completion of ongoing and new AI research and engineering projects within the team, assigning tasks and prioritising them.
Identify and pursue opportunities to sustain the team’s AI models, tools, and funding lines.
Contribute to the development strategy of the department’s AI tools, thereby increasing the applicability and international visibility, and hence impact, of the research arising from current and future projects.
Contribute to the research activities of the team by identifying potential new lines of research and assisting in the publication and dissemination of the team’s research activities.
Co-lead the AI Team’s day-to-day management of tasks and deliverables, and supervise team members, together with the current Team Lead. The candidate will report to the Head of the Computational Earth Sciences Group.