The project concerns the development and implementation of algorithms for processing visuo-tactile data to control the real time interaction of the iCub with the environment (including objects and people). Specifically, the use of special "event-driven" visual sensors  allows the design of new methods whereby high resolution temporal information plays a central role [2,3]. This enables sensory processing and action planning at unmatched high speed potentially with µs resolution. This property exclusive of event-driven sensing and processing will be exploited in the framework of object manipulation, for example (but not limited to) to plan and execute on-line corrective actions during grasping.
We are looking for highly motivated people, with a passion to work in robotics and the skills to develop algorithms to make a robot interact with the world increasingly better and in real time. We are looking for an inquisitive mind with the curiosity to use a new and challenging technology that requires a rethinking visual processing to achieve a high payoff in terms of speed and efficiency.
We further seek a candidate with the following additional skills:
· PhD in computer vision, machine learning, signal processing, image analysis or related areas, preferably applied to robotics
· The ability to analyze, improve and propose new algorithms
· Good knowledge of C, C++ programming languages with a proved experience is a plus, as well as familiarity with libraries such as YARP, ROS, OpenCV, OpenGL and development tools including CMake, and Git
Team-work, PhD tutoring and general lab-related activities are expected.
The salary will be commensurate to qualification and experience and in line to that of the research institutes in the rest of Europe.
How to apply
Send applications and informal enquires to email@example.com quoting "BC 68769 – event-driven robotics" in the subject.
The application should include curriculum vitae listing all publications, pdf files of the most representative publications (maximum 5) and a research statement describing previous research experience and outlining its relevance to the proposed research topic. Please also indicate at least 2 independent referees.
Please apply before February 15, 2014.
The iCub is the Open Source child robot designed to support research in the themes of learning, control, cognition and interaction both at IIT and worldwide. More than 20 robots are currently located in many different labs, fostering an ever growing robotics community using the same platform and sharing knowledge. The iCub Facility is the main development centre of the iCub humanoid robot. The goal of the iCub Facility is to lead the development of the iCub, both on the hardware side, with a continuous update to incorporate new technologies, and on the evolution of its cognitive skills and capabilities.
The Fondazione Istituto Italiano di Tecnologia (IIT) is a non-profit institution based in Genova, close to both the Italian Riviera and the Alps, established jointly by the Italian Ministry of Education, University and Research, and the Ministry of Economy and Finance. IIT's scientific program is based on the combination of the basic scientific research with the development of technical applications, a major inspirational principle. The research areas cover scientific topics of high innovative content, which represent the most advanced frontiers of modern technology, with wide application possibilities in various fields ranging from medicine to industry, from computer science to robotics, life sciences, and nanobiotechnology. IIT is becoming an international leading centre in scientific research and advanced technology, able to attract researchers from around the world, and cooperating with both academic institutions and private organizations.
 Lichtsteiner, P., Posch, C., & Delbruck, T. (2008). A 128× 128 120 dB 15 μs latency asynchronous temporal contrast vision sensor. Solid-State Circuits, IEEE Journal of, 43(2), 566-576.
 Rea, F., Metta, G., & Bartolozzi, C. (2013). Event-driven visual attention for the humanoid robot iCub. Frontiers in neuroscience, 7.
 Benosman, R., Ieng, S. H., Clercq, C., Bartolozzi, C., & Srinivasan, M. (2012). Asynchronous frameless event-based optical flow. Neural Networks, 27, 32-37.
In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), we have to kindly ask the candidate to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provided will be used solely for the purpose of assessing your professional profile to meet the requirements of IIT. Your data will be processed by IIT, with headquarters in Genoa, Via Morego, 30, acting as the Data Holder, using computer and paper based means, observing the rules on 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
Istituto Italiano di Tecnologia
Via Morego, 30
16163 Genoa, Italy
Ph: +39 010 7178-1474