One of Horizon 2020 objectives is to increase the level of excellence in European basic science and ensure a steady flow of quality research to ensure Europe's long-term competitiveness.
The excellence and experience of CSIC in these programs places us as the first Spanish institution in number of ERC projects. ERC researchers can develop their projects in any field of knowledge with highly competitive salary conditions.
Success cases of ERC in CSIC
CSIC has participated in a very active way in the ERC program since its beginning in the Seventh Framework Program (FP7). With more than ninety ERC projects, it is the first Spanish entity to execute these projects, leading ERC projects in its five categories:
- Starting Grant (STG) for researchers who defended their thesis in a period of two to seven years prior to the call.
- Consolidator Grant (COG) ) for researchers who defended their thesis in a period of seven to 12 years prior to the call.
- Advanced Grant (ADG) for researchers with more than ten years of experience.
- Synergy Grant (SYG) ambitious projects involving two to four researchers of recognized prestige.
- Proof of Concept (POC) projects for researchers with an ERC, who seek to analyze the market potential of some result of their ERC project.
To discover our success stories click here
CSIC as Host institution for your ERC
For more information on the advantages of requesting an ERC project with CSIC, the following files can be downloaded:
Search research groups
| Group | Scientific Area |
|---|---|
| Archaeology and architecture of the city | |
| Social History of Power Since the Middle Ages | |
| Plant breeding for stress resistance | Ciencias Agrarias |
| Plant Biotechnology | Ciencias Agrarias |
| Genetic improvement of annual oilseed crops | Ciencias Agrarias |
Search for research projects
| Proyectos de Investigación | Área de investigación |
|---|---|
| Artificial Intelligence-Guided Chemical Robotics and High-Throughput Experimentation (AI-Brain) | Ciencia y Tecnologías Químicas |
| Scalable QUantum Ansätze with Deep learning | Ciencia y Tecnología de Materiales |
| Scientific validation of the AI-driven methodology for Marine habitat Assessment and Restoration | Tierra y Medioambiente |
| Towards a Digital TWIN for Physical and SocioEconomic Analysis of Coastal Systems (TWINPEACS): Morphodynamics Analysis | Tierra y Medioambiente |
| AI-Driven Discovery of Bimetallic Catalysts for CO2 Capture and Transformation | Ciencia y Tecnologías Químicas |
Search for expressions of interest