Analysis and modeling of neural activity for the identification of cognitive skill loss in elderly subjects

Italian Ministry of Education, University and Research; Italia; On-site; EUR 42,000 - 54,000; Full time

Job summary

Scuola Superiore Sant'Anna di Pisa seeks researchers to advance neuroengineering, neurology, and signal analysis, applying bioengineering, neurophysiology, and biophysics methods to EEG and implanted device data.

Candidates will contribute to computational modeling using MATLAB, Python, and neural simulation tools, aiming to reveal neural mechanisms of cognitive decline in aging and neurodegenerative diseases.

Qualifications

• PhD in a relevant field required.
• Strong background in neuroengineering, neurophysiology or biophysics.
• Experience with EEG data analysis and neural signals processing.

Responsibilities

• Develop algorithms for cortical EEG data analysis.
• Work on subcortical signals from implanted neuromodulation devices.
• Undertake computational modeling of neural activity.

Skills

Research in neuroengineering

Algorithm development

Computational modeling

Education

PhD in a relevant field

Tools

MATLAB

Python

Neural simulation software

Job description

Organisation/Company Scuola Superiore Sant'Anna di Pisa Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 23 Oct 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The selected candidates will conduct research in neuroengineering, neurology, and signal analysis, applying methods from Bioengineering, Neurophysiology, and Biophysics. Activities will focus on developing algorithms for the analysis of cortical signals recorded through electroencephalography in healthy individuals and people with cognitive disorders, as well as subcortical signals from patients with implanted neuromodulation devices. Computational modeling will also be a key component.

The research aims to investigate the neural mechanisms underlying cognitive decline associated with aging and neurodegenerative diseases. Work will involve analyzing neural data and their relationship with behavior, and/or developing in silico models of neural activity. Research activities will mainly rely on computational and data-processing tools, including Matlab, Python, and software for neural architecture simulation.

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE

Eligibility of fellows: nationality/ies: