Connectionists: Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data - BC 71883

[Pavis]

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data - BC 71883


IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.

The Pattern Analysis and Computer Vision department (PAVIS) at IIT (http://www.iit.it/pavis.html) is looking for a highly qualified researcher in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis with applications to Biomedical Data Analysis.

The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly-functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other research units inside IIT providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.


To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis, sensor fusion, and embedded computer vision systems. The lab will also pursue this goal by working collaboratively and in cooperation with external private and public partners.

This call aims at consolidating PAVIS expertise in the following research areas:

• Biomedical image analysis;
• Neuroimaging (functional and structural connectome);
• Biological signal/image/video processing;
• Neuronal network structural connectivity and functional activity analysis;
• Animal behavior analysis;
• Multimodal data analysis and data fusion.


>From the methodological standpoint, the ideal candidate should be familiar within one or more of the following subjects: Probabilistic Graphical Models, Topic Models and Bayesian Non-parametrics, Deep Learning, neural networks and autoencoders, Sparse and Dictionary Learning, Kernel methods and manifold learning, graph-based learning, spectral graph theory.
As the activities may be carried out in collaboration with other research units inside IIT, previous multidisciplinary experience is an added value which will be duly considered.
Strong programming skills are required.

Candidates to this position have a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines. A keen interest in biomedical issues and applications is of course necessary. Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is therefore 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, supervising PhD candidates and collaborate with scientists from different disciplines.


The position is offered for a (renewable) period of 2 years. Salary will be commensurate to qualification and experience and in line with international standard. The workplace is Genova, Italy.
Further details and informal enquires can be made by email to pavis at iit.it quoting PAVIS- BC 71883 as reference number.

Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance to the above topics by email to applications at iit.it, quoting PAVIS-PD 71883 as reference number.

Please also send 2 reference letters. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by March 31, 2016.


In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. 
Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper- based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.

Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce