“MANiC”

Materials for Neuromorphic Circuits

Funded by the European Commission through the Horizon 2020 Marie Sklodowska-Curie ITN Programme, the MANIC network offers 15 high level fellowships for joint research on new materials for cognitive applications. The most talented and motivated students will be selected for advanced multidisciplinary research training, preferably starting July 2020.

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ABOUT THE RESEARCH

The scientific aim of MANIC is to synthesize materials that can function as networks of neurons and synapses by integrating conductivity, plasticity and self-organization. Successes in deep learning show that the paradigm of neuromorphic computing is very attractive. However, current technology is based on the Turing/von Neumann architecture, requiring extensive communication and an excessive amount of energy for computing. The human brain performs pattern recognition tasks with a fraction of the power needed by supercomputers for similar tasks. In this multidisciplinary project, new (memristic) materials and architectures for neuromorphic computing will be investigated in order to develop materials that can learn.

THE ONLINE REGISTRATION FORM WILL BE AVAILABLE UNTIL 16 OCTOBER 2020 17:00 (CET)

Members

Scientific background

The scientific aim of MANIC is to synthesize materials that can function as networks of neurons and synapses by integrating conductivity, plasticity and self-organization.

PhD Projects

MANIC’s training mission is to recruit fifteen Early Stage Researchers(ESRs) and provide them with the best possible research, academic and professional competencies, empowering them to become the next generation of European experts who take a leading research position in materials for cognitive applications. The MANIC training programme is thus designed to provide multidisciplinary training at the interface of chemistry, materials science, physics, computer science, mathematics and engineering with the aim of opening up new approaches in the field of neuromorphic computing. The overall ambition is that all participating Early Stage Researchers will gain knowledge in these disciplines.