[Neuroinfo] PhD Scholarship on Computational Methods for Brain Connectivity Analysis

[Paolo Avesani]

PHD SCHOLARSHIP ON COMPUTATIONAL METHODS FOR BRAIN CONNECTIVITY ANALYSIS

The Department of Information Engineering and Computer Science (DISI)
at the University of Trento and its research partners Fondazione Bruno
Kessler (FBK) and Italian Institute of Technology (IIT), will invite
applications for an open PhD position covered by scholarship in the
area of "Computational Methods for Brain Connectivity Analysis".

The deadline for applications is May 27, 2015, before 14:00, CET.

The PhD aims at carrying out research activity on machine learning
methodologies for brain connectivity data analysis. The main goal is
to design and to deploy machine learning algorithms for open
challenges such as the detection of the main structural and functional
pathways of the brain, the characterisation of the differences with
respect to altered brain connections, the inter-individuals analysis
of brain connectivity structures.

The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK)
and Istituto Italiano di Tecnologia (IIT). The research activity will
take place at the Neuroinformatics Laboratory (NILab) and the Pattern
Analysis and Computer Vision Laboratory (PAVIS). NILab is an
interdisciplinary laboratory raised as joint initiative between the
Centre for Information Technology of FBK and the Centre for Mind/Brain
Sciences of University of Trento (CIMeC).

The University of Trento ranks 1st among the Italian Universities in
the rankings of Times Higher Education and CIMeC ranks 1st for quality
of research in the ranking of the Italian National for the Evaluation
of Universities and Research (ANVUR). CIMeC has 6 ERC starting grants
and 1 advanced grant. Trento ranks 1st in the annual survey on quality
of life in Italian cities conducted by daily Il Sole 24 Ore.

Details on the PhD School and a link to the online application are
provided below. If you are interested, you may contact us in advance
at the following address: info.nilab at fbk.eu .

Links

- PhD School: http://ict.unitn.it
- FBK: http://www.fbk.eu
- CIMeC: http://www.cimec.unitn.it
- NILab: http://nilab.fbk.eu
- PAVIS: http://iit.it/pavis
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