The ISI Foundation (http://www.isi.it) is looking for an exceptional candidate to fill an open postdoctoral position in Topological Data Analysis and Network Science for neuroscience, with particular focus on structural and functional brain connectivity in neurodegenerative diseases.
The appointed researcher will work within the scope of the ADnD (“Algebraic-topological Detection of Neurodegenerative Diseases") project in the ISI "Mathematics and Foundations of Complex Systems” group. ADnD is a multidisciplinary effort that aims to develop, implement and validate a set of novel theoretical topology-inspired tools, complementary to network tools, for the detection and analysis of brain activity patterns, able to capture functional and physical distributed (or mesoscale) coordination patterns.
The project work focuses on Parkinson’s Disease and Alzheimer's Disease, but its insights are expected to be valuable across a range of normal and neurodegenerative conditions thanks to its symbiosis of data-driven approaches, complex systems, computational topology and computational mesoscopic modelling.
Duties of the researches will range from experimental studies to theoretical and methodological work including the development and testing of computational algorithms.
In addition to the main research project, the group (this has not been defined - do you mean ISI?) works also on fundamental problems in statistical topology, simplicial modelling of social and biological systems and predictability of socio-biological systems.
We welcome applicants with a strong background in computational neuroscience, neuroimaging, statistical physics, machine learning, artificial intelligence, complex systems, or other closely related fields. Our priority is to attract researchers who are either technically very strong and interested in asking bold new questions about how our brain works, or coming from the neurosciences and want to position themselves at the forefront of data analysis techniques.
Specifically you will:
Ph.D in Neuroscience, Computational Neuroscience, Mathematics, Physics or related quantitative field.
Experience in complex networks, statistical mechanics or topological data analysis.
Have good programming skills in at least one of the following languages Matlab, Python, C++.
Fluency in English both spoken and written.
Highly collaborative spirit and personal initiative.
And obviously excellent personal skills.
Additional desired skills:
Experience with EEG and fMRI is optional but appreciated.
Knowledge of computational models of neural populations or whole-brain brain modelling is optional, but appreciated.
We provide an unusually rich opportunity for collegial interaction in a highly competitive environment.
Mentoring will be provided by a multidisciplinary faculty team including co-investigators on the project (Dr. Giovanni Petri and Prof. Mario Rasetti) and collaborators from neurology, computer science, mathematics and complex systems science.
We provide a competitive salary according to the qualifications and medical and pension benefits according to the Italian State.
Applications received before the November 17th 2017 will be given priority, but the position will remain open until filled.
The researcher will be appointed for one year with the possibility to extend for a second year, based on satisfactory performance.
To apply, please send your cover letter, curriculum vitae and professional reference list to Dr. Giovanni Petri <firstname.lastname@example.org>.
For any further information, please refer to Dr. Giovanni Petri.
ISI is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, gender, sexual orientation, age, religion or disability.
Length: 12 months, full-time, with potential to be extended for a second year.
Location: ISI Foundation, Turin, Italy
Starting date: no later than February 1st 2018
Applications are reviewed on a rolling basis until the position is filled. Evaluation begins immediately.
|Duration/Period||1 year - with eventual renewal for a second year|
|Keywords||topological data analysis; brain networks; fMRI; ;|
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