Nicola Toschi

PhD opportunity at the University of Rome Tor Vergata in the Medical Physics Section, Department of Biomedicine and Prevention. The project sits at the interface of medical physics , NeuroAI , biomedical AI , AI for life sciences , computational neuroimaging, molecular AI, physiological systems modelling, therapeutic ultrasound, and translational biomedical research. The lab develops quantitative, computational, and physics-informed methods for complex biological and clinical systems. Research topics include brain decoding, MRI/PET/fMRI/diffusion MRI/EEG/MEG analysis, biomedical image and signal processing, multimodal data integration, molecular and systems-level modelling, radiomics, precision oncology, AI-assisted radiotherapy, brain-body and autonomic modelling, focused ultrasound and TheraFUS technologies, ultrasound-mediated therapeutic delivery, neuromodulation, nanomedicine, and safe-by-design modelling. The opportunity is aimed at motivated prospective PhD candidates from physics, medical physics, biomedical engineering, computer science, data science, applied mathematics, bioengineering, neuroscience, biology, biotechnology, medicine, computational biology, or related fields. Programming, machine learning, image or signal analysis, neuroimaging, molecular data, physiological modelling, statistics, and biomedical datasets are welcome strengths. The successful candidate will join an active interdisciplinary environment with projects funded by European programmes, NIH, national agencies, and regional funding bodies, and will have access to collaborators across Europe, the United States, and other international research centres. To apply, candidates should email a single PDF with a short cover letter, CV, academic background, and relevant research or technical experience to Nicola Toschi.

PhD/Doctoral Researcher opportunity in AI, multimodal imaging, glioblastoma research , and medical imaging at the University of Rome Tor Vergata , within the EU-funded MSCA Doctoral Network INTRABRAIN . The position is hosted by the Tor Vergata Medical Physics group led by Prof. Nicola Toschi , with Dr. Allegra Conti as co-supervisor. The project focuses on developing AI-driven multimodal imaging frameworks for integrated analysis of tumor biology and therapeutic response in glioblastoma. Research topics include advanced MRI , PET imaging , optical fluorescence imaging , spatial biology , and multiplex immunofluorescence . The computational side may involve physics-informed neural networks , multitask learning , and transformer-based architectures for multimodal data integration. Eligible backgrounds include medical physics , biomedical engineering , computer science , data science , applied mathematics , physics , bioengineering , computational biology , neuroscience , or related quantitative fields. Strong programming skills and experience in machine learning, image processing, biomedical imaging, medical image analysis, or quantitative modeling are especially relevant. The post mentions international secondments at the University of Naples Federico II , Technion , and University of Helsinki . Application deadline: 4 June 2026 . To apply, complete the INTRABRAIN DC application form from the job post and email it to [email protected] . More information is available via the linked INTRABRAIN positions page.