ERC Consolidator Grant funding
ERC Consolidator Grants are designed to support excellent Principal Investigators with 7-12 years of experience since completion of PhD.
Project: "Multicomponent Protein Cage Co-Crystals."
Duration: 2021 - 2026
Project: "SOS.aquaterra - Respecting safe operating spaces: opportunities to meet future food demand with sustainable use of water and land resources".
Duration: 2019 - 2024
Matti Kummu, Assistant Professor of global water issues, aims to tackle this grand challenge in his new project SOS.aquaterra - Respecting safe operating spaces: opportunities to meet future food demand with sustainable use of water and land resource. The project received two million euros funding from the European Research Council (ERC) through the ERC Consolidator Grant programme. The main aim is to assess globally what are the feasible opportunities to meet the future food demand with sustainable use of natural resources.
The five-year project develops novel integrated modelling and data analysis methods to fully exploit the global open spatio-temporal datasets together with outputs from global agrological and hydrological models.
Project: "Electronically driven DNA-origami-based machines".
Duration: 2022 - 2027
Project: "Building up a Unified Theory of Stellar Dynamos".
Duration: 2019 - 2024
- Person profile Maarit Käpylä
- ERC-PoC: Solar cYcle prediCtion tool using sOlar internal oscillations, 2023-2024
Project: "Learning Pixel-Perfect 3D Vision and Generative Modeling"
Duration: 2020 - 2025
Professor Jaakko Lehtinen’s project, Learning Pixel-Perfect 3D Vision and Generative Modeling (PIPE), focuses on how to bring models based on machine vision, machine learning, and physics together. The project explores the most fundamental questions of machine vision research; how can we teach a machine to perceive the world as animals do? Lehtinen’s work could also be used to help improve AI applications, like robots.
Project: "From needles to landscapes: a novel approach to scaling forest spectra"
Duration: 2018 - 2023
Thousands of satellites orbit the Earth, generating an ever-increasing amount of data. Assistant Professor of Remote SensingMiina Rautiainen aims to develop a mathematical model for processing the information in satellite images in order to help monitor forests from space with significantly greater detail than is currently possible.
Rautiainen´s research project, entitled From needles to landscapes: a novel approach to scaling forest spectra aims to further the basic theory of remote sensing and to use these advances to monitor forests around the world.