Postdoctoral researcher in neural network data analysis and functional connectivity

ph3Postdoctoral researcher in neural network data analysis and functional connectivity /h3 pItaly /p pCommitment contract: 19 months Post-Doc position /p pLocation: Center for Advanced Biomaterials for Health Care (CABHC), Naples /p pbStep into a world of endless possibilities, together let’s leave something for the future! /b /p pAt 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. /p pWe 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. /p h3THE ROLE /h3 pYou 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. /p pThe 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: /p ul liAnalysis and processing of electrophysiological data acquired from interconnected neural in vitro models /li liQuantitative characterization of neuronal activity, signal propagation, synchronization, and functional connectivity across interconnected neurospheroids /li liDevelopment and application of computational approaches for network reconstruction and analysis of connectivity patterns /li liCorrelation of electrophysiological parameters with structural and functional features of neural in vitro models /li /ul h3ESSENTIAL REQUIREMENTS /h3 ul liA PhD in Biomedical Engineering, Bioengineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or related disciplines /li liDocumented experience in signal processing, time-series analysis, and quantitative data analysis /li liExperience in the development and implementation of algorithms for signal processing, feature extraction, pattern identification, and data interpretation /li liExperience with the analysis of complex, multichannel, or high-dimensional datasets /li liProficiency in scientific programming and data analysis using Python, Matlab, or equivalent computational tools /li liGood command of spoken and written English /li /ul h3ADDITIONAL SKILLS /h3 ul liExperience with multivariate signal analysis, correlation analysis, network analysis, or graph-theoretical approaches is considered a plus /li liKnowledge of statistical modelling, machine learning, or data-driven methods for the analysis of dynamic systems /li liAbility to work in a challenging and international environment /li liCapacity to work autonomously and collaboratively in a highly interdisciplinary environment /li liPossess Analytical Reasoning skills and a growth mindset /li /ul h3COMPENSATION PACKAGE /h3 ul liA yearly gross salary ranging between 25.000,00 and 30.000,00 euro, /li liPrivate health care coverage depending on your role and contract /li liCandidates 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. /li /ul pThis 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 (PN-RIC ) ammessa al finanziamento in data 03/03/2026 (Decreto Direttoriale n. 766 del 03/03/2026 e relativi allegati, cod. MI 622, MI 1_ _ ), codice unico di progetto (CUP): B79H /p pApplication’s deadline: September 29th, 2026 /p h3To discover more about life at IIT, visit the dedicated section here: /h3 /p #J-18808-Ljbffr