Doctoral research, research appointments, student projects and collaboration in medical physics, AI and neurotechnology.
Open calls
There are currently no open calls. New doctoral and postdoctoral opportunities will be listed here when announced.
Research interests
We welcome expressions of interest from prospective PhD students and postdoctoral researchers interested in experimental, theoretical and computational research across medical physics, artificial intelligence and neurotechnology.
Our research spans the following areas, and we welcome approaches that connect them:
Imaging physics and quantitative methods. MRI, PET and CT; acquisition, reconstruction, image analysis and reproducible measurement.
Microstructure, physiology and metabolism. Diffusion and perfusion imaging, tracer kinetics, pharmacokinetic modelling and quantitative marker development.
Machine learning and generative AI. Foundation models, self-supervised learning, physics-informed architectures, interpretability and uncertainty quantification.
NeuroAI and brain–computer interfaces. Neural encoding and decoding, multimodal representations, and links between neural activity, images, language and sound.
Neuromorphic and bio-inspired computing. Spiking neural networks, reservoir computing, biologically motivated architectures and adaptive learning.
Neuromodulation and neural interfaces. Ultrasound, magnetic and electrical stimulation; acoustic and electromagnetic modelling, experimental biophysics and wireless interfaces.
Networks, causality and dynamical systems. Computational neuroscience, graph learning, directed connectivity, Bayesian inference and nonlinear dynamics.
Physiological systems and behaviour. Brain–body interactions, autonomic regulation, morphometry, multisensory processing and quantitative links with behavioural traits.
Multimodal data analysis. Image and signal processing, computer vision, radiomics, longitudinal modelling and integration across modalities and scales.
Radiation physics and optimisation. Radiation transport, Monte Carlo simulation, detector modelling, dose reconstruction and optimisation.
Computational and experimental molecular methods. Sequence modelling, molecular assays, aptamer-based detection, fluorescence imaging and quantitative models of biological systems.
Nanomaterials, transport and exposure. Nanocarrier design, biological barrier transport, material–cell interactions, predictive toxicology and safer material design.
To discuss your research interests and possible future opportunities, contact Prof. Nicola Toschi. Please include a brief description of your academic background and the questions or methods you would like to explore.
01 / DOCTORAL RESEARCH
Doctoral research
Doctoral research includes physics, neurotechnology and artificial intelligence, with positions offered through university programmes and European training networks.
Students interested in thesis projects or research placements may contact the group with a description of their academic background and research interests.
Previous recruitment announcements for the group and partner institutions. Applications to all 15 calls are closed.
ClosedDoctoral position
PhD in AI for Neuroimaging, NeuroAI and Health
University of Rome Tor Vergata
A funded three-year PhD within the National PhD programme in Artificial Intelligence. Research spans foundation and generative models, graph learning, multimodal neuroimaging, electrophysiology, brain decoding and mathematical modelling of biological systems.
Doctoral research across quantitative imaging, brain decoding, molecular AI, physiological modelling and focused ultrasound. The call invited candidates to develop computational, experimental and physics-informed methods for integrating imaging, neural signals and molecular data.
University of Rome Tor Vergata · INTRABRAIN Doctoral Network
Development of computational pipelines integrating MRI, PET, optical fluorescence and spatial biology. The project explores physics-informed neural networks, multitask learning and transformers, with secondments at the University of Naples Federico II, Technion and the University of Helsinki.
INTRABRAIN DC10: Nanomaterials and Image-guided Delivery
University of Rome Tor Vergata · INTRABRAIN Doctoral Network
Experimental development of nanoparticle carriers, vector delivery and focused ultrasound methods, supported by advanced MRI. The project combines molecular and cellular methods with quantitative imaging, with secondments at the University of Helsinki, Technion and Image Guided Therapy SA.
Research on foundation models and generative AI for encoding and decoding neural activity. The collaboration develops multimodal representations, reconstruction of visual and auditory content, and alignment across subjects, recording modalities and species, with an emphasis on reproducible methods and open-source tools.
Development of encoding and decoding models connecting neural recordings with the latent spaces of vision, language and audio models. Research includes generative reconstruction, cross-subject alignment, representational geometry and computational tests of neuroscientific hypotheses.
DeepDose: AI and Physics-informed Dose Reconstruction
University of Rome Tor Vergata · CNRS / LPSC Grenoble
A funded international PhD developing rapid three-dimensional dose reconstruction from prompt-gamma detector signals. The project combines deep learning, Monte Carlo simulation, detector modelling and physical constraints, with research based in Rome and Grenoble.
Published
INSPIRE deadline
The LinkedIn notice gives 20 July 2025; the linked recruitment record gives 31 July 2025.
PhD in Medical Physics, Engineering and Biotechnology
University of Rome Tor Vergata
Doctoral research spanning brain decoding, generative molecular design, neuromorphic computing, self-supervised learning and neuromodulation. Further directions include focused ultrasound, nanomaterials, quantitative MRI and pharmacokinetic modelling of PET and MRI data.
Postdoctoral Research in Focused Ultrasound and Theranostic Nanoparticles
University of Rome Tor Vergata · TheraFUS Laboratory
Experimental research integrating multifunctional nanoparticles and focused ultrasound. The role combines work in murine models, stereotactic methods, immunohistochemistry and molecular analysis. Experience with in vivo MRI or PET was also valued.
PhD in Miniaturised Electromagnetic Systems for Neuronal Stimulation
FAU Erlangen–Nürnberg · Biointerfaces Lab
A three-year doctoral project within ERC BRAINMASTER, developing miniaturised electromagnetic circuits to control magnetic nanotransducers for neuromodulation. Work includes electromagnetic simulation, MRI methods and device fabrication, with collaboration and training at the University of Glasgow.
A position in the National PhD programme in Artificial Intelligence, covering brain decoding, neuroimaging, neuromorphic computing and quantitative biological modelling. Research directions also include simulation, neuromodulation, theoretical AI and distributed learning, with a research period in partner laboratories abroad.
PhD in Ultrasound Neuromodulation and Targeted Delivery
University of Rome Tor Vergata
Experimental development of neurostimulation and delivery technologies in murine models. The work combines ultrasound with molecular and tissue characterisation, including Western blotting and immunohistochemistry, within European and nationally funded research projects.
Doctoral opportunities in the National AI programme and the university's Medical Physics, Neurotechnology and AI curriculum. Topics include neuromorphic computing, brain decoding, imaging and simulation, physiological modelling, theoretical AI and distributed learning, with research placements abroad.
University of Rome Tor Vergata · CNR Institute for Complex Systems
A joint doctoral opening within the National PhD programme in Artificial Intelligence. Research spans computational molecular biology, neuromorphic computing, imaging and simulation, physiological modelling and neuromodulation, combining quantitative methods with computational or experimental work.
ClosedThree doctoral positions and one postdoctoral position
Doctoral and Postdoctoral Research in AI and Neurotechnology
University of Rome Tor Vergata
Recruitment for computational and experimental research in neuromorphic computing, biomedical imaging, simulation, physiological modelling and neuromodulation. Doctoral routes included the National PhD in AI and the university's Medical Physics, Neurotechnology and AI curriculum, with placements in partner laboratories abroad.