Here is a combined LinkedIn-ready version: NeuroAI Research Scientist / Machine Learning EngineerUniversity of Rome Tor Vergata × @TetherThe University of Rome Tor Vergata, in collaboration with @Tether Evo, is looking for a highly motivated NeuroAI Research Scientist / Machine Learning Engineer to join an open, international research effort at the intersection of artificial intelligence, neuroscience, and brain-computer interfaces .This collaboration brings together academic research and applied AI development to advance our understanding of brain representations and build the next generation of neural interface technologies. Our goal is to develop open, reproducible, and high-impact NeuroAI methods that help explain how the brain represents language, vision, imagery, audition, music, speech, motor control, and semantic structure — while also enabling real-world progress in BCI systems. What you'll work onYou will contribute to research and open-source projects that:Map neural activity into the latent spaces of modern vision, language, and audio foundation modelsBuild robust encoding and decoding pipelines for fMRI, EEG, MEG, ECoG, iEEG, and related neural dataDevelop generative reconstruction systems for images, music, speech, and multimodal brain signalsStudy cross-subject, cross-modality, and cross-species alignment of brain representationsTest neuroscientific hypotheses about abstraction, compositionality, modality invariance, representational geometry, and shared latent structureContribute to high-impact publications, open-source tools, conferences, and international collaborationsYou will work in a vibrant research environment connected to Horizon Europe, EIC Pathfinder, national PNRR projects, and collaborations with leading academic and industry partners.
A PhD, or near completion, in physics, computer science, engineering, or another quantitative fieldStrong experience in machine learning, computational neuroscience, neuroimaging, signal processing, or related areasExcellent Python skills and hands-on experience with deep-learning frameworks such as PyTorch, JAX, or TensorFlowBackground in one or more of: representation learning, multimodal learning, contrastive learning, diffusion models, LLMs, generative AI, encoding/decoding models, or topographic brain modellingExperience with real neural data such as fMRI, EEG/MEG, ECoG, iEEG, or multi-unit spiking dataStrong scientific communication skills and enthusiasm for interdisciplinary collaborationPublications in top-tier AI, neuroscience, or computational science venues are highly valued. Open-source contributions and experience building reproducible research pipelines are also a strong plus. Why join usThis is a unique opportunity to help shape the emerging field of NeuroAI through a collaboration between a leading academic research group and @Tether Evo, working on open, ethical, and impactful AI for brain science.You will have the opportunity to:Work on cutting-edge NeuroAI and BCI researchAccess large-scale neural datasets and state-of-the-art computing resources, including HPC and GPUsCollaborate with international academic labs and industry partners️ Build open-source tools for the scientific communityPublish, attend conferences, mentor students, and help define the future of brain-tech innovationWork in a flexible, international environment How to applyPlease send your CV, a brief statement of research interests, and optionally 1–2 representative publications, projects, or GitHub links to:nicola.If you are passionate about advancing neuroscience and AI through open, collaborative, and scientifically rigorous research, we would love to hear from you.#NeuroAI #MachineLearning #ComputationalNeuroscience #BrainComputerInterfaces #BCI #AIResearch #FoundationModels #GenerativeAI #OpenScience #DeepLearning #Neuroscience #Hiring #Postdoc #ResearchScientist #PyTorch #UniversityOfRomeTorVergata #TetherEvo