Ph3 Postdoctoral Research Scientist in NeuroAI — University of Rome Tor Vergata /h3 h3About the Position /h3 pWe are looking for a highly motivated Postdoctoral Research Scientist in NeuroAI to join our group at the University of Rome Tor Vergata. You will work at the intersection of neuroscience, AI, and cognitive science in a vibrant research environment involved in multiple Horizon Europe, EIC Pathfinder, national PNRR, and international collaborations with both research institutions and industry partners. /p pOur group develops methods that map brain activity into powerful semantic representations learned by large foundation models, enabling decoding, encoding, generative reconstruction, multimodal alignment, and cross-species generalization. Your work will directly contribute to next-generation NeuroAI research in visual cognition, audition, language, music / speech decoding, and the algebraic structure of brain representations. /p h3What You’ll Work On /h3 ul liDevelop and evaluate models that project neural activity into the latent spaces of modern vision, language, and audio foundation models to study how the brain encodes perception, action, and semantics. /li liBuild robust decoding / encoding pipelines supporting generative reconstruction (images, music, speech), cross-subject alignment, and cross-modality translation across heterogeneous neural datasets. /li liUse these models to test neuroscientific hypotheses about abstraction, modality-invariance, compositionality, representational geometry, and shared latent structure across species, tasks, and recording methods. /li liContribute to high-impact publications, open-source tools, and collaborative research within Tor Vergata and international partner labs. /li liParticipate in lab activities : mentoring students, presenting at conferences, and helping drive the long-term agenda of NeuroAI research. /li /ul h3What We’re Looking For /h3 ul liPhD (or near completion) in physics, computer science, or related quantitative fields. /li liAt least 2+ years of hands-on research experience in computational neuroscience, neuroimaging, AI / ML, signal processing, or related areas (PhD years count). /li liSolid programming experience in Python and deep-learning frameworks (PyTorch / JAX / TensorFlow), with familiarity handling real neural data (fMRI, EEG / MEG, ECoG, iEEG, or multi-unit spiking). /li liBackground in at least one of : encoding / decoding models, contrastive learning, diffusion models or generative AI, multimodal representation learning, or topographic brain modelling. /li liEvidence of strong scientific output, excellent communication skills, and enthusiasm for interdisciplinary work bridging AI and brain science. /li /ul h3Why Join Us /h3 ul liA unique opportunity to help shape the emerging field of NeuroAI. /li liAccess to state-of-the-art computing (HPC, GPUs) and multiple large-scale neural datasets. /li liParticipation in EU-funded projects across neuroscience, AI, neuromodulation, brain-computer interfaces, and cognitive technologies. /li liA collaborative, international research environment. /li /ul h3How to Apply /h3 pSend your CV, a brief statement of research interests, and (optionally) 1–2 representative publications to: /p pApplications are reviewed on a rolling basis. /p /p #J-18808-Ljbffr