Postdoctoral researcher in multimodal data integration and correlation analysis

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

Vantaggi offerti da questo lavoro

Private health care coverage

Relocation assistance

Descrizione del lavoro

IIT invites applications for a Postdoctoral researcher in multimodal data integration and correlation analysis in Naples, Italy. The role focuses on integrating electrophysiological, structural, imaging and biochemical readouts to identify quantitative patterns and functional signatures.

You will work in a multicultural, multi-disciplinary group coordinated by Prof. Paolo Netti, developing data-driven approaches and applying statistical methods to complex datasets from advanced in vitro models.

Competenze

• PhD in STEM field required.
• Documented experience in quantitative data analysis and integration of heterogeneous datasets.
• Experience with data correlation, feature extraction, pattern recognition, and multivariate analysis.
• Experience with complex, multimodal datasets.
• Proficiency in Python, Matlab, or equivalent tools.
• Good command of English.

Mansioni

• Analyze and process electrophysiological data from interconnected neural in vitro models.
• Develop computational approaches for data correlation, feature extraction, and dimensionality reduction.
• Correlate electrophysiological readouts with structural, imaging, biochemical, and functional parameters.
• Develop statistical and data-driven methods to identify multimodal signatures under different conditions.

Conoscenze

Quantitative data analysis

Statistical analysis

Data integration

Multivariate analysis

Analytical reasoning

Formazione

PhD in STEM field

Strumenti

Python

MATLAB

Descrizione del lavoro

Postdoctoral researcher in multimodal data integration and correlation analysis

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

ESSENTIAL REQUIREMENTS

• 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

ADDITIONAL SKILLS

• 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

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