The Event-driven perception for robotics (EDPR) laboratory (https://edpr.iit.it/ ) with the iCub Facility, Istituto Italiano di Tecnologia (IIT) is seeking to appoint a postdoctoral fellow, under the supervision of Dr. Chiara Bartolozzi.
The selected candidate will join the interdisciplinary team of the iCub project. She/he will contribute to the development of new skills of the iCub robot, based on event-driven sensing.
We are looking for a talented and enthusiastic postdoc who will join our team to develop models and architectures capable of interpreting and learning from spatio-temporal information, to extract relevant information and plan appropriate behavior. In particular, the candidate will be in a unique position to exploit recent advances in machine learning, in combination with novel biologically inspired sensors and the accompanying biological-grounded learning models.
The research aims for the position are open but will focus on the some or all of the following areas depending on the candidate’s experience:
The candidate will take an “event-driven” approach to robotics, in which sensor signals are not sampled at a fixed rate, but specialised sensor electronics output only when there is a significant change. The signal is therefore highly-compressed, has a low-latency, and can represent signal frequencies on the order of megahertz.
An example of the event-driven camera can be seen here (https://www.youtube.com/watch?v=xS-7xYRYSLc) but we also have active projects involving event-driven touch/haptic, sensors.
The EDPR group is part of the iCub Facility and the candidate will be using event-driven robotics to improve the speed, accuracy, robustness and computational usage of the iCub Humanoid Robot (http://www.icub.org/). Proposed problems include:
However, we also expect the chosen candidate to identify and propose novel problems that can be solved using the unique combination of event-driven sensors and the advanced humanoid robot. The event-driven sensors propose a challenge as they require a completely new approach to processing, and we expect the candidate to have a strong knowledge base of a relevant field, and also an open-mind to the paradigm shift that comes with event-driven robotics.
The successful candidate will be offered a salary commensurate to experience and skills.
Expected start date could be January 2019.
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