2 Postdoc positions in PAVIS on automatic visual inspection - [ Postdoc ]Added on: 23/05/2018 - Expires on 20/06/2018
The Pattern Analysis and Computer Vision (PAVIS) Research Line at IIT is looking for highly qualified candidates with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, video analysis, etc.).
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 Lines providing scientists in Neuroscience, Nanophysics and other IIT Lines with ad hoc solutions.
To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal 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.
This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a novel system that can inspect industrial parts in extreme environments. The system has to detect damages, like cracks and fissures, over the components of a large structure using different sensor modalities. This implies the development of novel algorithms for defect detection, classification and quality control that discriminate explicitly the photometric and physical attributes of each part. In particular, this new inspection problem will require the study of different types of features as well as robust and effective methodologies for detection and classification. In this context, experience and expertise in deep learning models is valuable and will be duly considered.
This project will be managed in collaboration with a major industrial partner.
Candidates to this position have a Ph.D. in Computer Vision, Pattern Recognition or related areas, and research experience and qualification should follow the same lines. 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 winning candidate will also contribute to setting up new (funding) project proposals and will participate in funding activities.
He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD students and collaborate with other scientists, also with different expertise.
Salary will be commensurate to qualification and experience and in line with international standards. Duration 1 year.
Further details and informal enquires can be made by email to firstname.lastname@example.org quoting PAVIS- BC 75378 - 75379 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), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees by email by email@example.com, always quoting PAVIS-BC 75378 - 75379 as reference.
This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by June 20, 2018.
IIT was established in 2003 and successfully created alarge-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 nano-biotechnologies.
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