Postdoctoral Researcher: Neural Connectivity & Data Analytics

Aretè & Cocchi Technology; Napoli; Ibrido; EUR 25.000 - 30.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private health care

Descrizione del lavoro

IIT invites applications for a Postdoctoral researcher role focused on neural network data analysis and functional connectivity. Based at the Center for Advanced Biomaterials for Health Care in Naples, the position supports interdisciplinary neuroscience and AI research.

The candidate will work in a multicultural team under Prof. Paolo Netti to analyze electrophysiological signals and network dynamics, contributing to understanding neuronal activity propagation in neurospheroids.

Competenze

• PhD in Biomedical Engineering, Bioengineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or related fields.
• Documented experience in signal processing and time-series analysis.
• Experience with algorithms for signal processing, feature extraction, pattern identification, data interpretation.
• Experience with multichannel or high-dimensional datasets.
• Proficiency in scientific programming using Python or Matlab.
• Strong written and spoken English.

Mansioni

• Analyze electrophysiological data from interconnected neural in vitro models.
• Quantitatively characterize neuronal activity, signal propagation and functional connectivity.
• Develop computational approaches for network reconstruction and connectivity analysis.
• Correlate electrophysiological parameters with structural/functional features of neural models.

Conoscenze

Signal processing

Time-series analysis

Quantitative data analysis

Python

Matlab

English proficiency

Formazione

PhD in Biomedical Engineering

PhD in Bioengineering

Strumenti

Python

Matlab

Descrizione del lavoro

IIT invites applications for a Postdoctoral researcher role focused on neural network data analysis and functional connectivity. Based at the Center for Advanced Biomaterials for Health Care in Naples, the position supports interdisciplinary neuroscience and AI research.

The candidate will work in a multicultural team under Prof. Paolo Netti to analyze electrophysiological signals and network dynamics, contributing to understanding neuronal activity propagation in neurospheroids.