Pb Postdoctoral Research Scientist in NeuroAI — University of Rome Tor Vergata /b /ppbr/ppbAbout the Position /b /ppbr/ppbr/ppWe are looking for a highly motivated bPostdoctoral Research Scientist in NeuroAI /b 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. /ppbr/ppOur 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. /ppbr/ppbWhat You’ll Work On /b /ppbr/pulliDevelop 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. /liliBuild robust decoding/encoding pipelines supporting generative reconstruction (images, music, speech), cross-subject alignment, and cross-modality translation across heterogeneous neural datasets. /liliUse these models to test neuroscientific hypotheses about abstraction, modality-invariance, compositionality, representational geometry, and shared latent structure across species, tasks, and recording methods. /liliContribute to high-impact publications, open-source tools, and collaborative research within Tor Vergata and international partner labs. /liliParticipate in lab activities: mentoring students, presenting at conferences, and helping drive the long-term agenda of NeuroAI research. /li /ulpbr/ppbWhat We’re Looking For /b /ppbr/pulliPhD (or near completion) in physics, computer science, or related quantitative fields. /liliAt least b2+ years of hands-on research experience /b in computational neuroscience, neuroimaging, AI/ML, signal processing, or related areas (PhD years count). /liliSolid 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). /liliBackground in at least one of: encoding/decoding models, contrastive learning, diffusion models or generative AI, multimodal representation learning, or topographic brain modelling. /liliEvidence of strong scientific output, excellent communication skills, and enthusiasm for interdisciplinary work bridging AI and brain science. /li /ulpbr/ppbWhy Join Us /b /ppbr/pulliA unique opportunity to help shape the emerging field of bNeuroAI /b. /liliAccess to state-of-the-art computing (HPC, GPUs) and multiple large-scale neural datasets. /liliParticipation in EU-funded projects across neuroscience, AI, neuromodulation, brain-computer interfaces, and cognitive technologies. /liliA collaborative, international research environment. /li /ulpbr/ppbHow to Apply /b /ppbr/ppSend your bCV /b, a brief bstatement of research interests /b, and (optionally) b1–2 representative publications /b to: /p pbr/ppApplications are reviewed bon a rolling basis /b. /p