Postdoc: Embodied Neuromorphic Intelligence & Robotics

ISTITUTO ITALIANO DI TECNOLOGIA; Italia; In loco; EUR 35.000 - 45.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private health care coverage

Descrizione del lavoro

Istituto Italiano di Tecnologia in Genova, Italy, invites applications for a PostDoc in the Event-Driven Perception for Robotics Research unit. You will join a multicultural, multi-disciplinary team to advance neuromorphic perception, computing and learning, applying spike-based methods to real-time robotics tasks.

The role focuses on body schema, multisensory integration, motion perception and closed-loop control, with emphasis on end-to-end neuromorphic systems.

Competenze

• PhD in computational neuroscience, neuromorphic computing and engineering, computer science, or similar disciplines.
• Documented experience in spiking neural networks and/or spike driven learning.
• Strong publication record.
• Good command of spoken and written English.

Mansioni

• Collaborate in a multicultural and multi-disciplinary group to carry out a scientific activity with a shared research goal.
• Focus on event-driven perception, computing and learning; contribute to neuromorphic perception and robotics research.
• Develop end-to-end neuromorphic systems for perception, decision making and control.
• Publish results in high-impact journals and conferences.

Conoscenze

Spiking neural networks

Spike driven learning

Python

C++

English

Formazione

PhD in computational neuroscience/neuromorphic computing/engineering/computer science

Strumenti

Python

C++

Descrizione del lavoro

Istituto Italiano di Tecnologia in Genova, Italy, invites applications for a PostDoc in the Event-Driven Perception for Robotics Research unit. You will join a multicultural, multi-disciplinary team to advance neuromorphic perception, computing and learning, applying spike-based methods to real-time robotics tasks.

The role focuses on body schema, multisensory integration, motion perception and closed-loop control, with emphasis on end-to-end neuromorphic systems.