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Research & Art

ERC Advanced Grant funding

The European Research Council (ERC) funding is awarded to leading researchers for pioneering work at the frontiers of science. ERC Advanced grants provide an opportunity to well-established and outstanding scientists having a track-record of significant research achievements in the last 10 years to pursue innovative, high-risk research.
Olli Ikkana in Otaniemi, photo by Lasse Lecklin.

Olli Ikkala

Project: Life-Inspired Soft Matter
Duration: 2024–2029

This funding is Olli Ikkala's third Advanced Grant from the European Research Council (ERC). The project explores nature-inspired materials that increasingly have the properties of living systems. The state of living systems is governed by a feedback loop called homeostasis. Project develops materials that can be brought out of equilibrium by external stimuli.

Person profile Olli Ikkala

News: Bioinspired colours and adaptable materials - Professor Olli Ikkala's third EU project builds on living systems

Maarit Karppinen

Maarit Karppinen

Project: Unique ALD/MLD-Enabled Material Functions
Duration: 2023–2028

Professor Karppinen research group develops new materials by combining inorganic and organic components with atomic and molecular precision. The goal is to develop ALD/MLD technology in an innovative way, exploiting unique new hybrid materials and material functionalities.

Person profile Maarit KarppinenNews: Significant funding for thin-film technology research - materials to be developed can be used, for example, in energy storage

Samuel Kaski, professor

Samuel Kaski

Project: ODD-ML: Out-of-Distribution Deployable Machine Learning
Duration: 2026–2030

Samuel Kaski’s ERC grant aims to develop new types of machine learning. A virtual, simulation-based laboratory, in which scientists receive AI assistance and part of the scientific process can be automated, is one example of how the new machine learning results can make ‘AI4Science’ a reality. The purpose of automation is not to remove scientists from the process or humans from the eventual output.

Person profile Samuel KaskiNews: A revolution for R&D with the missing link of machine learning — project envisions human-AI expert teams to solve grand challenges

Vili Lehdonvirta, phóto: Mikko Raskinen, Aalto University

Vili Lehdonvirta

Project: The Geopolitics of Cloud Computing: How State-Firm Interactions Shape the Geography of Computation to Produce Digital Sovereignty and Dependence
Duration: 2024–2029

The trend towards hyperscale cloud infrastructures is creating powerful global gatekeepers of computational capability. At the heart of Lehdonvirta's investigation lies a quiet revolution. The production of digital services has moved from modest corporate data centres to sprawling hyperscale cloud infrastructures. The project will also examine the way governments try to influence the geography of computing through policy.

Person profile Vili LehdonvirtaNews: Cloud empires: Mapping the geopolitics of data infrastructures

Peter Liljeroth

Peter Liljeroth

Project: Realizing designer quantum matter in van der Waals heterostructures
Duration: 2025–2029

This ERC funding is for research into new quantum materials. The aim is to develop critical building blocks to enable future quantum devices.

Person profile Peter LiljerothNews: Major European funding for research into new quantum materials

Aalto University professor Mikko Mottonen, photo Mikko Raskinen

Mikko Möttönen

Project: New superconducting quantum-electric device concept utilizing increased anharmonicity, simple structure, and insensitivity to charge and flux noise
Duration: 2022–2027

This five-year project led by Professor Mikko Möttönen, will develop a new qubit which will more accurately carry out quantum operations, such as those used in quantum computing. The team will also develop electronics that can operate at temperatures near absolute zero – in the millikelvin range. This is the fifth time Möttönen has received one of the extremely competitive ERC grants.

Person profile Mikko MöttönenNews: Mikko Möttönen and his team aim to rein in qubit errors

Professor Antti Oulasvirta. Photo: Aalto University / Jaakko Kahilaniemi

Antti Oulasvirta

Project: Artificial User
Duration: 2024–2029

Oulasvirta studies the interaction between humans and computers and creates computational models of human behaviour. These models can be used to predict, for example, how easy it is to use a mobile device, but can also explain behaviour, like why some feel that AI-assisted text input is difficult while others do not. The modelling of behaviour has taken a giant leap over the past decade, while machine learning has made significant steps forward.

Person profile Antti Oulasvirta

News: Researchers investigate how AI could better understand humans

Professor Mika Sillanpää

Mika Sillanpää

Project: Probing the limits of quantum mechanics and gravity with micromechanical oscillators  
Duration: 2021–2026

The goal of the project is to determine the effect of gravity on the quantum-mechanical states and vibrations of two gold spheres on a very small scale, and at extremely low temperatures. This will be the third ERC grant Sillanpää has received. In the project the researchers try to solve a hundred-year-old mystery of physics: the incompatibility of the general relativity and quantum mechanics.

News: Physicist Mika A. Sillanpää wins a multi-million euro research grant to support work reconciling quantum mechanics and general relativity

See also other European Research Council (ERC) fundings

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