Postdoctoral researcher in multimodal data integration and correlation analysis

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 integration and correlation of multimodal datasets generated from advanced in vitro systems, with particular emphasis on identifying relationships between electrophysiological, structural, imaging, and biochemical readouts. The activity will contribute to the development of data\-driven approaches for the identification of quantitative patterns and functional signatures associated with physiological and disease\-relevant conditions.

Main tasks:

• Analysis and processing of electrophysiological data acquired from interconnected neural in vitro models


• Development of computational approaches for data correlation, feature extraction, dimensionality reduction, and identification of relevant patterns across heterogeneous datasets


• Correlation of electrophysiological readouts with structural, imaging, biochemical, and functional parameters


• Development and application of statistical and data\-driven approaches for the identification of multimodal signatures associated with different experimental conditions

• A PhD in Biomedical Engineering, Bioengineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or related disciplines


• Documented experience in quantitative data analysis, statistical analysis, and integration of heterogeneous datasets


• Experience in the development and implementation of computational approaches for data correlation, feature extraction, pattern recognition, and multivariate analysis


• Experience with the analysis and interpretation of complex, multidimensional, or multimodal datasets


• Proficiency in scientific programming and data analysis using Python, Matlab, or equivalent computational tools


• Good command of spoken and written English

• Experience with multivariate statistics, dimensionality reduction, clustering, correlation analysis, or data fusion approaches is considered a plus


• Knowledge of machine learning or data\-driven modelling approaches for the identification of patterns and predictive relationships


• 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

• 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.

*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*

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