Fellow position in PAVIS on automatic visual inspection - [ Fellow ]Added on: 23/05/2018 - Expires on 15/06/2018
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for qualified applicants with a background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, classification, 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 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 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 system that can inspect manufactured objects to detect defects or damages over the parts, like cracks, fissures, discoloration and other types of defects from optical, as well as other sensory modality data. This implies the development of novel algorithms for detection, classification and quality control that discriminate explicitly the anomaly in the object to be controlled. In particular, this new inspection problem will require the study of different types of features and the use of deep learning approaches is envisaged. This project will be carried out in collaboration with a major industrial partner.
PAVIS is opening a research fellow position with expertise/experience in Computer Vision, Pattern Recognition or related areas, and research experience and qualification should follow the same lines. Candidates should have good programming skills in C/C++ and Matlab and a general knowledge of computer vision and machine learning approaches. Knowledge of deep learning frameworks (e.g., TensorFlow, Caffe, etc.) is also welcome.
He/she is expected to publish his/her research results in leading international journals and conferences and collaborate with other researchers.
Salary will be commensurate to qualification and experience and in line with international standards.
Further details and informal enquires can be made by email to firstname.lastname@example.org quoting PAVIS- BC 75380 as reference number.
Please send your application, including a CV and a brief description of research interests and main accomplishments, to email@example.com quoting “Fellow PAVIS position 75380” in the email subject.
This call will remain open and applications will be reviewed until the position is filled, but please apply by June 15th, 2018.
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 nano-biotechnologies.
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Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.