The Pattern Analysis and Computer Vision Research Line (PAVIS) at Istituto Italiano di Tecnologia (IIT) is looking for a highly qualified candidate with strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior understanding and prediction. As the activities may be carried out in collaboration with other IIT Units, previous multidisciplinary experience is an added value which will be duly considered.
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 IIT research units 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\multimedia data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners.
In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on action/activity recognition and scene understanding from video sequences and other sensory modalities.
In particular, the following topics are of interest:
From the methodological standpoint, the ideal candidate should be familiar with one or more of the following subjects (it’s not an exhaustive list): Deep Learning, Graphical Models, Topic Models, Representation/Feature Learning, Sparse and Dictionary Learning, Clustering, Kernel methods, Manifold Learning and Statistical and Probabilistic Models in general.
Candidates to this position should have a Ph.D. in computer vision, machine learning, pattern recognition or related areas. Research experience and qualification in computer vision and pattern recognition/machine learning are clearly a must and evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is mandatory.
Moreover, 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 winning candidate will also be asked to contribute to setting up new (funding) project proposals and will participate in funding activities.
He/she is also expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise.
Salary will be commensurate to qualification and experience and in line with international standards.
To apply (deadline is October 15, 2017) please send a cover letter outlining experience and qualifications for the position, CV and names of 2 referees to firstname.lastname@example.org quoting “Post-Doc position 73165” in the subject line.
IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10-state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.
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.
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Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.