# PhD Opening on large-scale dynamics of functional networks and information routing (@Aix-Marseille University)

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**Created:** [December 9, 2019, 8:36pm UTC](https://mne.discourse.group/t/phd-opening-on-large-scale-dynamics-of-functional-networks-and-information-routing-aix-marseille-university/2021 "2019-12-09T20:36:57Z")\
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**Post date:** [December 9, 2019, 8:36pm UTC](https://mne.discourse.group/t/phd-opening-on-large-scale-dynamics-of-functional-networks-and-information-routing-aix-marseille-university/2021/1 "2019-12-09T20:36:57Z")

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External Email - Use Caution

We are recruiting one PhD fellow at the Institute for Systems  
Neuroscience at Aix-Marseille University. The student will work within  
Dr. Demian Battaglia?s group (theoretical neuroscientist), in strict  
interaction with other researchers at Aix-Marseille University (Andrea  
Brovelli, systems and cognitive neuroscientist; Alain Barrat, complex  
networks physicist), as well as Strasbourg University.

The project will delve with the analysis of multi-frequency?dynamic  
brain networks?in large-scale electrophysiological recordings.

Brain regions interact between them in a highly dynamic manner even to  
perform very simple tasks, preventing too simplistic attempts of  
description. Flexibly changing patterns of information exchange and  
integration can be tracked using novel information theoretical and  
time-series analyses tools and generating directed multi-layer temporal  
networks representations of the data.?In the framework of this project,  
a variety of different large-scale electrophysiological datasets (from  
rodents to non-human primates and humans) will be characterized based on  
complex network analyses tools that, initially forged in statistical  
physics, have not yet been adapted to be compliant with neural datasets,  
although they provide a natural language to describe?the complex ?life?  
of cell assemblies and transiently integrated coalitions of brain  
regions. The PhD fellow will characterize how spatio-spectro-temporal  
network patterns correlate or predict behavior and cognitive performance  
(e.g. in working memory or spatial navigation tasks) and, potentially,  
how these patterns are altered in specific animal pathology models (AD,  
ALS?).

Network analyses of empirical data may be complemented by the design of  
connectome-based computational models of multi-scale oscillations, to  
reverse engineer physiological mechanisms (e.g. alterations of  
excitability) that may underpin generalized functional connectivity  
changes, in control or pathological conditions.

This project is one of the ?ESR? (Early Stage Researcher) positions  
opening within the Marie Sk?odowska-Curie Innovative Training Network  
(ITN) project ?i-Conn? funded by the European Commission, under their  
H2020 program. Such prestige program offers ideal conditions to the  
successful candidate such as: a salary well superior to the national  
average of ~1.9k euros monthly (plus family allowance when applies), net  
after taxes, with full social security coverage; and generous grant  
money for training and traveling to conferences. Through the ITN project  
activities, the PhD fellow will have the opportunity to come in contact  
with leading research groups in the UK, Germany, Czech Republic, Austria  
and Cyprus adopting network science techniques in a wide variety of  
disciplines, including neuroscience, but also socio-economics,  
geography, astronomy, etc.

At Aix-Marseille University, the PhD fellow will integrate the  
second-largest neuroscience community in France in a dynamic university  
with an emphasis on interdisciplinary approaches. The PhD fellow will  
profit of the high-level training opportunities provided by the local  
?NeuroSchool? ([https://neuro-marseille.org/en](https://neuro-marseille.org/en)), an excellence PhD  
program in clinical and integrative neuroscience, as well as by  
convergence institutes as the Turing Center for Living Systems  
([http://centuri-livingsystems.org](http://centuri-livingsystems.org)). In addition, Marseille is a vibrant  
multi-cultural city located in the beautiful natural and cultural  
context of Southern France, at a few hours only?by direct high-speed  
train?from?European cities as?Paris, Barcelona, Brussels or Frankfurt.

We seek for?candidates?with computational neuroscience, physics or  
computer science/machine learning background?(ideally but not  
necessarily). The most important prerequisite is the willingness and  
skill?to explore large-scale datasets with advanced information theory  
and network science tools. Previous experience in programming,  
computational modeling or network analyses is?a plus. The working and  
training language is English.

IMPORTANT! some strict requirements apply to be eligible as an Early  
Stage Researcher funded by the?Marie Sk?odowska-Curie program:

?1) The applicant should have ? at the date of recruitment ? less than  
4 years of a research career, and not have a doctoral degree. The 4  
years are measured from the date when they obtained the degree which  
would formally entitle them to embark on a PhD, either in the country  
where the degree was obtained or in the country where the PhD is provided.

?2) \*Trans-national mobility\*: The applicant ? at the date of  
recruitment? should not have resided in France, where the research  
training takes place, for more than 12 months in the 3 years immediately  
prior to recruitment, and not have carried out their main activity (work  
,studies, etc.) in France.

To register your interest in applying for this position please, and to  
ask for any further information, please contact  
demian.battaglia at [univ-amu.fr](http://univ-amu.fr). To apply for this position, we require a  
copy of your CV, degree transcripts, motivation letter and the names  
and/or recommendation letters of 2 referees.?Please include your master  
thesis as well and any publication you authored (included manuscripts at  
preprint or sufficiently advanced draft stages).

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