Job Information
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
Offer Description
This research program (code FIS-2024-00837) 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.
Where to apply
Website: https://pica.cineca.it/unipv/tipologia/idr
Additional Information
Eligibility criteria
The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: https://pica.cineca.it/unipv/tipologia/idr 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
Eligible destination country/ies for fellows:
- 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: https://pica.cineca.it/unipv/tipologia/idr 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).
Website for additional job details: https://pica.cineca.it/unipv/cruscotto/contratti
Work Location(s)
Number of offers available: 1
Company/Institute: Università di Pavia
Country: Italy
Contact
City: Pavia
Website: https://portale.unipv.it/it
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