2026-IpdDip-04-DBBS - Advanced Virtual brAin models to predicT the effects of deep brAin stimulation (Roma)

2026-IpdDip-04-DBBS - Advanced Virtual brAin models to predicT the effects of deep brAin stimulation (Roma)

09 ago
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Altro
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Roma

09 ago

Altro

Roma

Organisation/Company Università di Pavia Research Field Neurosciences Engineering Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 23 Sep 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

Pronto/a a candidarsi? Prima di farlo, si assicuri di leggere tutti i dettagli relativi a questo lavoro nella descrizione sottostante.

Offer Description

This research program (code FIS-2 focuses on multiscale brain modeling for applications in Deep Brain Stimulation (DBS) in patients with Parkinson's disease. The activity aims to develop next-generation computational frameworks capable of reproducing and predicting the neural effects of DBS protocols with high biological realism.

The work involves modeling neuronal activity using spiking neural networks and, subsequently, mean-field models of the main brain regions involved in DBS, with particular attention to the characterization of stimulation-induced dynamics. The project also includes the reconstruction of brain microstructure using advanced magnetic resonance imaging techniques and structural image processing pipelines. These elements will support realistic subject-specific DBS simulations and lay the groundwork for clinically relevant applications.

The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: selections are open to candidates, Italian or foreigner, in possession, on the date of the deadline for submitting applications for the admission to the selection, of a research doctorate (PhD) or equivalent qualification obtained abroad, or, for the sectors concerned,



a medical specialization qualification. The educational qualification has to concern the research theme.

Further specific assessable qualifications (see Art. 1 par. 1 Call for applications):

PhD in Biomedical Engineering, Biomedical Sciences, or a related discipline

Experience in neuroimaging data analysis, particularly structural

MRI and structural connectivity reconstruction

Experience with machine learning algorithms, preferably applied to

MRI data

Experience with multiscale modeling approaches and/or large-scale brain simulations

Experience working with clinical datasets and within interdisciplinary research teams

Proficiency in programming (e.g., Python, MATLAB) and scientific computing

Familiarity with cerebellar disorders, brain stimulation techniques

(e.g., DBS) and the Virtual Brain simulator

AFRICA

EUROPE

OCEANIA

NORTH AMERICA

SOUTH AMERICA

ASIA

OTHER

Eligibility of fellows: country/ies of residence:

AFRICA

EUROPE

OCEANIA

NORTH AMERICA

SOUTH AMERICA

ASIA

OTHER

Eligibility of fellows: nationality/ies

AFRICA

EUROPE

OCEANIA

NORTH AMERICA

SOUTH AMERICA

ASIA

OTHER

Selection process The application for admission to the selection procedure (dated and signed),the documents and publications considered useful for the evaluation must be submitted, under penalty of exclusion, electronically, by visiting the following web page: selecting the Competition Notice you have chosen. In order to register with the system, you must have an email address. Following the guidelines published in the procedure, the applicant must enter all the information required for the application, enclosing all documents in electronic .PDF format. xkiyazw The selection of candidates is carried out on the basis of qualifications and interview, supplemented by a test of knowledge of the foreign language (see Art. 1 par. 1 Call for applications).

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