Open Positions in "efficient Multimodal - Genova, Italia - Istituto Italiano di Tecnologia

Istituto Italiano di Tecnologia

Azienda verificata

Genova, Italia

1 settimana fa

Inviato da:

Piero Bianchi

Reclutatore di talenti per beBee

Descrizione

Open positions in "Efficient multimodal neuromorphic perception for human-robot interaction"
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Commitment & contract:
PostDoc for one/two years

Expected starting date:
January 2024

Location:
Genoa, Italy

ABOUT US

At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society.

Our Genoa headquarters are strictly interconnected with the other 11 centers around Italy and two outstations based in the US.

We promote excellence in basic and applied research such as neuroscience and cognition, humanoid technologies and robotics, nanotechnology, materials for a truly multidisciplinary scientific experience.

YOUR TEAM
The research activities will be carried out under the supervision of Dr. Chiara Bartolozzi and Dr. Gaurvi Goyal.

You b wille working in a multicultural and multi-disciplinary group, where computational scientists, neuromorphic engineers and robotics experts collaborate to carry out common research.

The current composition of the group consists of people from 6 different countries on 3 different continents.

The EDPR Research line is coordinated by Chiara Bartolozzi, who has extensive experience in neuromorphic engineering, and event-driven sensing and perception for robots.

The Neuromorphic domain is a strongly emerging alternative computing ecosystem that can provide a more sustainable option to mainstream digital computing.

The open position is part of a larger EU project that will rely on the efficiency and accuracy of neuromorphic sensing and computation and its link to the real-world dynamics through its asynchronous, event-driven nature, to support the development of the robot's understanding of itself, of the environment and of other agents.

This approach is deemed to deliver robots with human-like motor performance and interaction.

Within this broad context, we are augmenting our team of researchers, working on two main projects: Neuromorphic Human Pose Estimation and Neuromorphic Tactile Perception.

Neuromorphic Human Pose Estimation

Neuromorphic Tactile Perception

We will develop neuromorphic proprioceptive and tactile perception to support precise estimation of action timing, for precise action timing execution during physical human robot interaction.

We will develop spiking hybrid capacitive/piezoelectric tactile sensors, delivering a system level prototype with matrices of sensors based on our recently developed neuromorphic circuits, that will be integrated in the iCub robot.

We will use these sensors and neuromorphic spiking neural networks for the estimation and execution of task dynamics during physical human robot interaction, also relying on the co-activation of vision (i.e., from the tracking of human pose) and other sensory modalities such as proprioception.

YOUR RESPOSIBILITY
Within the team, depending on your expertise and choice between one of the two main projects, your main responsibilities will be:

Develop spiking neural networks for human pose estimation, focusing on methods that are robust to intersectional factors and minimise training data;
Optimize their implementation for lowlatency and realtime, on neuromorphic hardware;
Develop neuromorphic tactile sensors based on piezoelectric and capacitive transducers;
Integrate neuromorphic tactile sensors on the iCub robot;
Develop a method to integrate tactile, proprioceptive and visual cues to inform the robot on the task dynamics;
Team up with the other researchers in the project to integrate all modules on the iCub robot

This research is financed by the European Commission, within the
Performance in Robot Interaction via Mental Imagery (PRIMI) project.

ESSENTIAL REQUIREMENTS

A PhD in computer science, engineering, robotics, or related fields
Good skills in algorithm development, programming, and analyzing and explaining your results
Good command in spoken and written English

ADDITIONAL SKILLS (though not necessary)**- Experience on circuit design

Knowledge of spiking neural networks and/or learning
Background in neuromorphic engineering
Good communication skills
Strong problem solving attitude
High motivation to learn
Spirit of innovation and creativity
Adeptness at time and priority management
Ability to work in a challenging and international environment
Ability to work independently and collaboratively in a highly interdisciplinary environment
Excited about getting handson experience with humanoid robots

COMPENSATION & BENEFITS

Competitive salary package for international standards
Private health care coverage
Wide range of staff discounts

WHAT'S IN FOR YOU?

An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us
We like contamination and encourage you to mingle and dis