The term “multiferroics” refers to an original class of solid materials where
both the magnetic and electric orders coexist and are strongly intertwined.
Such coexistence can induce a coupling between the spin and charge degrees of
freedom, that is called the magnetoelectric coupling, a key feature for future
information technologies. The discovery of multiferroics exhibiting strong
magnetoelectric coupling has attracted considerable interests in the past
decades, motivated both by their fundamental outcomes and for their potential
applications in novel electronics based on both spin and charge. The purpose
of this thesis will be to explore, in details, the multiferroic properties of
two members of the spinel ferrite family: the magnetic frustrated system
GeFe2O4 and the mixed-3d-ion compound NiFe2O4.
This PhD project will combine macroscopic characterizations at the laboratory
and two cutting-edge techniques on large-scale facilities: neutron scattering
and resonant X-rays. These two techniques will constitute a powerful approach
to reveal the coupling between magnetic and charge degrees of freedom in these
systems. The PhD student will conduct the experiments and analyze the data
under the supervision of experts in the field and communicate the results to
the scientific community (publications and conferences). This project
involves researchers from the MRS and MagSup teams of the Institut Néel as
well as the SIMaP laboratory. This collaboration will provide a rich
interdisciplinary research environment for the PhD student who will be placed
on a strategic position for a flourishing career development at the crossroad
between the synchrotron and neutron communities.
REQUIRED EDUCATION LEVEL
Physics: Master Degree or equivalent
The candidate should have a master degree or equivalent in condensed matter
physics with a strong interest for experimental physics addressing fundamental
questions. She/He should be well organized and meticulous, motivated by large-
scale facilities experiments and interested in both performing the experiments
and analyzing the data. Experience on coding will be appreciated. The
candidate should also have a good level in English (for writing publications
and participate to international conferences).