The Pattern Analysis and Computer Vision Research Line (https://pavis.iit.it/) at Istituto Italiano di Tecnologia is looking for a highly motivated post-doc with background in machine learning applied to neuroimaging data (fMRI, dTI, MEG, EEG, etc.). The position is in the context of the project “The role of brain network connectivity and machine learning for predicting disease worsening and cognitive impairment in patients with multiple sclerosis” in collaboration with the Institute of Experimental Neurology at Ospedale San Raffaele, supported by FISM, Fondazione Italiana Sclerosi Multipla onlus, gran n° cod. 2018/R/5 – cup F46C19000000001.
The project is focused on the development of machine learning algorithms and advanced computational methods for the analysis of brain imaging data recorded from multiple sclerosis (MS) patients. The interest is mainly in brain connectivity and how this relates with the disease. The aim is to support the prediction of long-term prognosis in MS. The research line will address problems such as the association of white-matter (dis)-connections with MS phenotypes, integration of functional and structural connectivity, definition of connectivity biomarkers used in long-term prediction of MS clinical worsening, etc.
Candidates for this position should have a Ph.D. in machine learning, pattern recognition, computer vision, mathematics or related areas. Research experience on the analysis of brain imaging data and brain connectivity will be privileged.
Strong programming skill is required.
Evidence of high quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, helping with the supervision of PhD candidates and collaborate with scientists from different disciplines.
Salary will be in line with international standard. The working location is Genova, Italy.
Further details and informal enquires can be made by email to firstname.lastname@example.org quoting PAVIS-PD 77047 as reference number in the subject.
To send your application please write an email to email@example.com, quoting “PAVIS-PD 77047” as reference number, along with a curriculum vitae a research statement also describing your previous research experience and outlining its relevance to the call topics and the name and contacts of at least 2 referees.
This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by June 15, 2019.
Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology.
PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging. More info on https://pavis.iit.it/
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