The DYNANOINT project aims to understand dynamical properties of interfaces between nanometer-size metal clusters and biomolecules for developing applications of metal nanoclusters in bioimaging, biosensing and nanomedicine. In order to reach the goals, the project develops new multiscale simulation strategies, assessing critically graph theory and machine learning methods as potential accelerators for discovery of structure-function relationships combined with traditional electronic structure methods and force-field based dynamical simulations. The project offers several possibilities for close collaborations with experimental groups in USA, Canada, Denmark and Singapore.
Major Duties/Responsibilities
Work as a part of a diverse, multicultural team
Learn various methods of computational nanoscience, artificial intelligence and machine learning, and apply them to investigations of dynamical properties of metal nanocluster – biomolecule interfaces.
Present research in international conferences and project meetings and publish the results in peer-reviewed journals in a timely fashion.
As a Doctoral Student pursue your doctoral studies at the University of Jyväskylä
Write a PhD thesis and defend it successfully within the term of the employment