2 Doctoral Candidate Positions for MSCA Doctoral Network INTRABRAIN
PhD Opportunities: MSCA Doctoral Network INTRABRAIN at Tor Vergata University of Rome
Tor Vergata University of Rome is offering two full-time Doctoral Candidate (PhD) positions within the EU-funded MSCA Doctoral Network project INTRABRAIN – “Nanoplatforms and Oncolytic Viruses for Novel Cancer Immunotherapy Strategies” (Grant Agreement No. 101227308).
The positions are based at the Department of Biomedicine and Prevention at the University of Rome Tor Vergata and focus on innovative glioblastoma immunotherapy research. The programme includes international collaborations, secondments abroad, and multidisciplinary training.
The salary follows the official MSCA funding scheme and includes a living allowance and mobility allowance, with a possible additional family allowance.
Position 1: DC10 – Nanomedicine and Glioblastoma Therapy
The DC10 project focuses on developing and validating a nanomedicine-based therapeutic strategy for glioblastoma using nanoparticle-encapsulated adenoviral vectors expressing IL-12.
The research will investigate intranasal delivery methods combined with focused ultrasound (FUS) to improve drug delivery across the blood-brain barrier in preclinical glioblastoma models. T
he candidate will work on:
- Nanoparticle and viral vector delivery systems
- In vitro and in vivo validation studies
- Tumour targeting and immune response analysis
- Focused ultrasound optimisation
- Biomarker and toxicity analysis
Required Background
Applicants should hold a Master's degree in:
- Biotechnology
- Biology
- Neuroscience
- Biomedical Sciences
- Pharmacology
- Biomedical Engineering
- Or related disciplines
Laboratory experience in molecular biology, neuroscience, cancer biology, or related experimental research is required.
International Secondments
The selected candidate will complete research periods in:
- Helsinki, Finland
- Haifa, Israel
- France
Position 2: DC14 – AI and Multimodal Imaging for Glioblastoma
The DC14 project focuses on computational and AI-based analysis of multimodal imaging data for glioblastoma research.
The candidate will develop advanced computational pipelines integrating:
- MRI
- PET imaging
- Optical fluorescence imaging
- Spatial biology data
The project includes machine learning, neural networks, imaging biomarker validation, and AI-driven analysis of tumour response.
Required Background
Applicants should hold a Master's degree in:
- Medical Physics
- Biomedical Engineering
- Computer Science
- Data Science
- Physics
- Applied Mathematics
- Computational Biology
- Or related disciplines
Strong programming and computational skills are required, particularly in Python, MATLAB, machine learning, and image analysis. International
Secondments
The selected candidate will complete research periods in:
- Naples, Italy
- Haifa, Israel
- Helsinki, Finland
Eligibility Requirements
Applicants must:
- Not already hold a doctoral degree
- Comply with the MSCA mobility rule:
Candidates must not have lived or worked in Italy for more than 12 months in the last 36 months before recruitment - Demonstrate strong English language proficiency
Previous experience with nucleic acids and cancer cells is considered an advantage.
How to Apply
Please read the attached pdf to applictions and full details.
Deadline
The application deadline is: 4 June 2026 ߌŒ
Info
- Pubblicato il : 07/05/2026 Modificato il : 11/05/2026