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 *********: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:
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.
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. 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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📌 2026-Ipddip-04-Dbbs - Advanced Virtual Brain Models To Predict The Effects Of Deep Brain Stimulation (Lazio)
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