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@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