IpdDip--DBBS - Advanced Virtual brAin models to predicT effects of deep brAin stimul

Position: 2026-IpdDip-02-DBBS - Advanced Virtual brAin models to predicT the effects of deep brAin stimul[...]
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) Final date to receive applications 6 Jul 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
This research program (code FIS-) 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: (Use the "Apply for this Job" box below). The 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.
Qualifications
Further specific assessable qualifications (see Art. 1 par. 1 Call for applications):

PhD in Biomedical Engineering, Biomedical Sciences, Physics, Artificial Intelligence, or similar.
Strong background in computational neuroscience, particularly in neural modeling.

Experience with multiscale modeling approaches and/or large-scale brain simulations.
Experience working with clinical datasets and interdisciplinary teams.
Proficiency in programming (e.g., Python, MATLAB) and scientific computing.

Experience with neuroimaging data analysis, particularly structural MRI and connectivity reconstruction.

Experience with NEURON and NEST simulators.
Familiarity with brain stimulation techniques (e.g., DBS) as well as with virtual brain simulator is considered an asset.

Eligibility of fellows
Country/ies of residence:

AFRICA
EUROPE
OCEANIA
NORTH AMERICA
SOUTH AMERICA
ASIA
OTHER

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. 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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