Academy Professors, FiDiPro-professors and ERC-funded Researchers - European Research Council

Academy Professors funded by Academy of Finland, Finland Distinquished Professors, FiDiPro and ERC-funded Researchers, European Research Council.

Academy Professors

Hannu Häkkinen 2016-2020

Professor Häkkinen applies theoretical and computational methods to the study of the physical, chemical and bioconjugate properties of nanostructured metal-molecule interfaces. His research focuses especially on metal nanoparticles and nanostructures protected by organic ligand molecules and on new breakthroughs in their use as catalysts, sensors, components for molecular electronics, biocompatible labels and drug carriers. Häkkinen is the Scientific Director of the Jyväskylä University Nanoscience Center (NSC) and is associated with the Departments of Physics and Chemistry, working in close collaboration with NSC teams and a number of international teams.

Petri Toiviainen 2014–2018

Petri Toiviainen is a professor whose research interests are in the areas of music research, psychology, computational data analysis and systemic and cognitive neuroscience. He is an internationally recognised scholar in the field of systematic musicology, specialising in the modelling of music cognition and computational methods of music analysis. His research is applied in the context of music therapy, music education and in the playing of music.

Professor Toiviainen’s research plan “The Dynamics of Music Cognition” is multidisciplinary in its orientation, combining basic research and methodological development with practical applications, such as hardware construction and modelling. His aim is to gain a deeper understanding of the role of the body and the brain in music perception. To do this he is studying the correlations between musical feature dynamics, corporeal dynamics and neural dynamics as well as the relationship between music processing and the listener characteristics. Another area of interest is the connection between embodiments of music and neural processing of music. It is believed this research will increase knowledge about the mechanisms involved in embodied and cerebral processing of music, and particularly the role of the motor system in perceiving and enjoying music.

Kari Rissanen 2013 - 2017 

Kari Rissanen is on his second term as Academy Professor (2008–2017) at the University of Jyväskylä. His research field is supramolecular chemistry, nanochemistry and X-ray crystallography. Within supramolecular chemistry, Rissanen is a world-leading expert, especially in structural research. The focus of his research is on the weak intermolecular interactions occurring in the solid state, in solution as well as in the gas phase. Special attention is paid to hydrogen and halogen bonds and the coordination chemistry of transition metals. The novel nano- and supramolecular systems that Rissanen has constructed are built on weak intermolecular interactions. Halogen bonding is a relatively new concept, and Rissanen’s contribution has been crucial to understanding its mechanisms and potential to use it. Rissanen is constructing novel capsule-like supramolecules by applying in sequence metal coordination and halogen bonding resulting g in completely new molecular species. These new research lines have resulted in major advances and breakthroughs in supramolecular chemistry and nanochemistry.

More info: https://www.jyu.fi/kemia/tutkimus/orgaaninen/en/research/rissanen


Professor Martin Hagger 2016-2019, Tekes

The Finnish host organization: Professor Taru Lintunen, University of Jyväskylä, The Department of Sport Sciences.  Research project: Motivation: Theory- and Evidence-Based Interventions to Increase Physical Activity.

The objective of the present study is to develop new, innovative, motivational theory-based approaches to address the lack of knowledge of promotion of physical activity and measurement technology. The key aims of the project are to develop and test a psychological model of motivation, known as the Integrated Behaviour Change Model, and to conduct original empirical formative research that will test the key hypotheses derived from the model.

Professor Yaochu Jin- 2015-2017, Tekes

Research project: Decision Support for Complex Multiobjective Optimization Problems (DeCoMo) Innovation, short product design cycles and efficiency of processes have become increasingly important for industries due to globalization and need of resource-efficiency. Multiobjective optimization can be used as a powerful tool for product innovation and improving processes by finding better designs and balancing between conflicting objectives efficiently and effectively. However, multiobjective optimization problems in industries are often complex, involving a large number of objectives and are computationally expensive.

In addition, supporting human decision makers and involving them in optimization have rarely been considered in complex multiobjective optimization problems. In this project, we develop novel optimization methods for decision support in solving complex multiobjective optimization problems by combining modernmeta-heuristics and machine learning techniques.

The output of this project will be a prototype of an intelligent decision support tool that can make advanced multiobjective optimization methods available for industry, thereby significantly enhancing the innovation capability and competitiveness of the Finnishindustries.
Host organization: Professor Kaisa Miettinen, University of Jyväskylä

Professor Jacek Dobaczewski - 2012-2017, Academy of Finland

(Institute of Theoretical Physics, University of Warsaw, Puola)
Research project: A poor description of low-energy correlations in nuclei is probably the principal source of errors and discrepancies in nuclear theory experiments. A possible way to proceed is to include the low-energy correlations explicitly, while maintaining the mean-field part at a manageable level. The aim of the research project is to define rigorous procedures and methods that would allow the inclusion of low-energy correlations in a consistent way.

The goal will be reached by accomplishing a series of tasks that are split between immediate ones where the research direction is known, and far-reaching ones where the ambitious programme can be formulated in general terms only. The tasks will involve studying relations between mean-fields and low-energy-correlation effects through studies of symmetry breaking and symmetry restoration, multi-reference and symmetry conserving DFT, ground-state correlations, polarisation effects, and continuum mixing and open systems.

Professor Niilo Kauppi 2015-2019, Academy of Finland

Niilo Kauppi (b. 1959) is a well-known researcher in the fields of political science, sociology and European studies, as well as one of the leading sociologists in France. In particular, Kauppi has studied the development of the European Union and the dimensions of European integration from a broad historical and cultural perspective.
Research project: The project explores transformations of concepts and institutions in the European polity. Kauppi will utilise two distinctive dimensions in the research: 1) analysis of the institutional and broader historical contexts of theory production; and 2) analysis of the ideational development of concepts and theories. 

ERC - European Research Council Fundings

Enrico Le Donne 2017 -2022

Researcher, Associate Professor, Mathematics Enrico Le Donne, ERC Starting Grant

Taina Rantanen

ERC Advanced Grant Professor Taina Rantanen

 Jari Kaukua 2016-2020

Professor, Philosophy,  Jari Kaukua 2016-2020, ERC Consolidator Grant

Tuomas Lappi 2016-2020

Researcher, Physics, Tuomas Lappi 2016-2020, ERC Consolidator Grant

Tuuli Lähdesmäki 2015-2020

Akademy Reseracher Tuuli Lähdesmäki 2015-2020, ERC Starting Grant

Marja Tiirola 2014-2019

Professor Marja Tiirola 2014-2019, ERC Consolidator Grant

Mikko Salo 2012-2017

Professor Mikko Salo 2012-2017, ERC Starting Grant