PostDoctoral position on Event-driven Deep Learning - [ Postdoc ]

Workplace: Genova, IIT
Added on: 30/05/2019 - Expires on: 31/07/2019

The Event-Driven Perception for Robotics (EDPR) Research Line (www.edpr.iit.it) at the iCub facility – Istituto Italiano di Tecnologia (IIT) – is seeking to appoint one postdoctoral fellow in the area of event-driven deep learning for autonomous robots.

We are looking for a talented and enthusiastic postdoc who will join our team to develop deep learning methods for low-latency object detection and recognition using novel “event-driven” sensors. 

The candidates 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, high dynamic range, 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).

The event-driven sensors propose a challenge as they require a completely new approach to processing, and we expect the candidates to have a strong knowledge base of a deep learning, and also an open-mind to the paradigm shift that comes with event-driven robotics.

The EDPR group is part of the iCub Facility and the candidates will be using event-driven robotics to improve the speed, accuracy, robustness and computational usage for the visual processing required for autonomous humanoid robots.

For more details on the position, write to chiara.bartolozzi@iit.it, and for more information on EDPR watch https://www.youtube.com/watch?v=9RKzUaqGhE4&feature=youtu.be

Required qualifications:

  • PhD in computer science, robotics, computer vision or related fields
  • M. Sc. in Computer science, Physics or related fields;
  • Ability to analyse, improve and propose new algorithms/solutions;
  • Good programming skills;
  • Good communication skills and ability to cooperate within a team;
  • Creative, proactive and collaborative attitude.

Desirable skills:

  • Outstanding technical skills and excellent overall score in master classes;
  • Background and/or experience in deep learning, event-driven or spike-based computation;
  • Familiarity with robotic middleware (e.g. YARP, ROS) and development tools (e.g. CMake and Git);
  • Knowledge of Deep Learning tools (TensorFlow, Keras, ….);

These positions are supported by a commercial project signed between IIT and an Industrial Customer.

The successful candidate will be offered a salary commensurate to experience and skills.

Please apply by July 31, 2019, by sending your application to applications@iit.it quoting exactly BC77016 – JP16 – PostDoc on Event-Driven Deep Learning in the e-mail subject. Your application shall contain a detailed CV, a research statement, and name and contacts information of two referees.

Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology.
Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce.

Please note that the data that you provide will be used exclusively for the purpose of professional profiles’ evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia.

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Contacts

applications@iit.it
Involved Research lines
Event-Driven Perception for Robotics

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