Italy

Commitment & contract: Full-time, 19 months Fellow 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 electrophysiological investigation of neuronal activity and connectivity in advanced 3D neural in vitro models.



The activity will exploit microelectrode array technologies to characterize neuronal activity at both single-unit and network levels and investigate the emergence of functional connectivity within interconnected neural systems.Within the research team, your main responsibilities will be:

- Electrophysiological characterization of 3D neural in vitro models using microelectrode array technologies
- Acquisition and preliminary processing of neuronal electrophysiological signals
- Characterization of firing activity, bursting, synchronization, and network-level responses
- Experimental investigation of functional communication and connectivity in interconnected neural systems under physiological and disease-relevant conditions

ESSENTIAL REQUIREMENTS

- A MSc degree in Biomedical Engineering, Bioengineering, Neuroscience, or related disciplines
- Documented experience in mathematical and numerical modelling of complex physical and/or biological systems
- Proficiency in scientific programming and numerical analysis using MATLAB, Python, or equivalent computational tools
- Good command of spoken and written English

ADDITIONAL SKILLS

- Experience with multivariate data analysis, statistical methods, or data-driven modelling approaches is considered a plus
- Familiarity with the integration of experimental and computational data for predictive modelling




- Knowledge of advanced experimental characterization techniques is appreciated
- 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 22.000,00 and 30.000,00
- 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 Please submit your application using the online form and including a detailed CV, cover letter, and 2 reference letters

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

📌 Research fellow in electrophysiological characterization of interconnected neural networks (Napoli)
🏢 Istituto Italiano Di Tecnologia
📍 Napoli