10 education scholarships at ICN2

PhD Student - Thermal Properties of Nanoscale Materials Group

. 4. Measurement of electrocaloric effects and pyroelectricity in ferro- and antiferroelectric oxide membranes. Requirements: · Education: Bachelor in Physics/Engineering. Master in Condensed Matter

PhD Student - Multiscale modeling of electronic, spin and thermal transport in nanostructured materials (DOC-FAM)

done for systems with a small number of atoms, far from those needed to address real devices. This project will address this issue, to develop theoretical and computational tools to bridge  the atomistic

PhD Student (DOC-FAM) - Engineering flexible, comformable substrates for monitoring and treatment of brain disease

materials, with a current particular emphasis on graphene and other 2D materials (e.g. MoS2), and to develop the fabrication and processing technologies necessary to prepare advanced electronic devices and

PhD Student - Synthesis of new porous materials via photocleavage of MOFs and COFs (DOC-FAM)

supramolecular and reticular chemistry and nanotechnology (nanochemistry), as well as in the use of a wide range of characterization techniques. The candidate will develop her/his thesis in excellent scientific

PhD Student - Engineering quantum properties of 2D materials by 1D and 2D superlattices (DOC-FAM)

also be participating in the common activities of both groups, such as group meetings or journal clubs. Education: Bachelor level background in physics, nanoscience, materials science or engineering

ICN2 PhD Programme 2024

Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and

PhD Student - Emergent Phases in Quantum Oxides (DOC-FAM)

multiple layer stacking). Education and experience: In order to succeed in this project, we are looking for a candidate with a high level of knowledge in physics, specifically in solid state physics, with

PhD Student - Advanced Electronic Materials and Devices

novel energy harvesting devices for the development of self-driven neural interfaces. Requirements: Education: Msc in Energy, Electrochemistry, Materials Science, Nanotechnology, or equivalent degrees

PhD Student - Theoretical and Computational Nanoscience Group

Tasks and responsibilities: Perform DFT simulations on 2D materials such as transition metal dichalcogenides. Develop machine learning potentials and molecular dynamics simulations. Contribute

PhD Student - Nanostructured Materials for Photovoltaic Energy Group

will experience a sustainable increase in its consumption. The transformation into a green-energy society will only be possible if we develop novel, toxic-free green materials with exceptional efficiency