Fondazione Istituto Italiano di Tecnologia – IIT (www.iit.it) is opening a Fellow Junior position in the framework of the "ROBOEXNOVO - Robots learning about objects from externalized knowledge sources" project funded by the European Union's H2020 Programme with Grant Agreement n. 637076.
The importance of vision for robots is pervasive: from self-driving cars to detecting and handling objects for service robots in homes, from kitting in industrial workshops, to robots filling shelves and shopping baskets in supermarkets, etc. All these applications, and many more, imply the ability to self localize in the environment in order to navigate effectively in it, to understand the spatial surroundings and being able to communicate about them. Although non-vision based localization methods have left research labs to move into commercial products, the challenge of localizing a system starting from visual information and the understanding and description of the environment based on such information is still open.
The goal of our research is to enable intelligent autonomous systems, like robots or smart wearable devices, to geolocalize themselves on the basis of visual information and to be able to describe the content of the geotagged image to humans, for human use. We are interested in large scale geolocalization, from a city to a country, up to continents and the whole world. This position will particularly look into how knowledge transfer deep algorithm, among and/or across modalities, can be leveraged upon to build a system able to geolocalize images and extract from them semantic content at the same time in presence of significant changes in the image, such as heavy occlusions, changes in the viewpoints and weather conditions.
The candidate should have a strong technical and theoretical background, with a M. Sc. in Computer science, Physics, Electrical engineer or similar, and a proven research record on visual recognition using deep networks. Candidates at the end of their M.Sc. studies will be taken in considerations, provided an outstanding academic record. Prior experience on deep knowledge transfer, documented by a publication record in the field, will be a plus.
The successful candidate will work starting from January 2018 in the newly established Visual and Multimodal Applied Learning Laboratory (VANDAL), led by Prof. Caputo, in Milan, with high end computing and robotic facilities.
Please submit your applications (deadline is November 23, 2017), including a detailed curriculum vitae, 2 representative publications, 1 page of research statement in PDF format and names of 2/3 referees, to email@example.com quoting “Fellow position CB 74514” in the subject line.
IIT was established in 2003 and successfully created the 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 endeavour 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.
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Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.