Postdoctoral researcher in neural network data analysis and functional connectivity

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

Postdoctoral researcher in neural network data analysis and functional connectivity

Italy

Commitment & contract: 19 months Post-Doc position

Location: Center for Advanced Biomaterials for Health Care (CABHC), Naples

Step into a world of endless possibilities, together let’s leave something for the future!

At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds.

We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.

THE ROLE

You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with a shared research goal.

The Bio-logic Research unit is coordinated by Prof. Paolo Netti. The research focuses on the quantitative investigation of functional communication within interconnected neural in vitro systems, with particular emphasis on the analysis of electrophysiological signals and network dynamics. The activity will contribute to the characterization of how neuronal activity propagates across interconnected neurospheroids and how functional connectivity is established and altered under physiological and disease-relevant conditions. Within the research team, your main responsibilities will be:

• Analysis and processing of electrophysiological data acquired from interconnected neural in vitro models
• Quantitative characterization of neuronal activity, signal propagation, synchronization, and functional connectivity across interconnected neurospheroids
• Development and application of computational approaches for network reconstruction and analysis of connectivity patterns
• Correlation of electrophysiological parameters with structural and functional features of neural in vitro models

ESSENTIAL REQUIREMENTS

• A PhD in Biomedical Engineering, Bioengineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or related disciplines
• Documented experience in signal processing, time-series analysis, and quantitative data analysis
• Experience in the development and implementation of algorithms for signal processing, feature extraction, pattern identification, and data interpretation
• Experience with the analysis of complex, multichannel, or high-dimensional datasets
• Proficiency in scientific programming and data analysis using Python, Matlab, or equivalent computational tools
• Good command of spoken and written English

ADDITIONAL SKILLS

• Experience with multivariate signal analysis, correlation analysis, network analysis, or graph-theoretical approaches is considered a plus
• Knowledge of statistical modelling, machine learning, or data-driven methods for the analysis of dynamic systems
• Ability to work in a challenging and international environment
• Capacity to work autonomously and collaboratively in a highly interdisciplinary environment
• Possess Analytical Reasoning skills and a growth mindset

COMPENSATION PACKAGE

• A yearly gross salary ranging between 25.000,00 and 30.000,00 euro,
• Private health care coverage depending on your role and contract
• Candidates from abroad or Italian citizens who have carried scientific research activity permanently abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years.

This open position is financed by "Gemelli digitali per le malattie del sistema nervoso centrale e la Medicina personalizzata” (acronimo: GEMINI, hub capofila: RAISE S.c.a.r.l., hub congiunto: MNESYS S.c.a.r.l.) per la realizzazione dell’Azione 1.1.2 prevista dal Decreto Direttoriale n. 307 del 18/03/2025 nell’ambito del Programma Nazionale Ricerca, Innovazione e Competitività per la transizione verde e digitale 2021-2027 (PN-RIC 2021-2027) ammessa al finanziamento in data 03/03/2026 (Decreto Direttoriale n. 766 del 03/03/2026 e relativi allegati, cod. MI 622, MI 1_02824450999_0000622), codice unico di progetto (CUP): B79H26000060007

Application’s deadline: September 29th, 2026

To discover more about life at IIT, visit the dedicated section here:

https://www.iit.it/en/work-at-iit