Postdoctoral Research Scientist in NeuroAI
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Posted: 18.05.2026
Job reference: e6b1d53c5269e72599251e6e2789323f
University of Rome Tor Vergata × @Tether Evo
The 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. The work will focus on encoding and decoding brain activity from invasive and non‑invasive neural recordings, using modern foundation models, representation learning, and generative AI.
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 on
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- Map neural activity into the latent spaces of modern vision, language, and audio foundation models
- Build robust encoding and decoding pipelines for fMRI, EEG, MEG, ECoG, iEEG, and related neural data
- Develop generative reconstruction systems for images, music, speech, and multimodal brain signals
- Study cross‑subject, cross‑modality, and cross‑species alignment of brain representations
- Test neuroscientific hypotheses about abstraction, compositionality, modality invariance, representational geometry, and shared latent structure
- Contribute to high‑impact publications, open‑source tools, conferences, and international collaborations
You will work in a vibrant research environment connected to Horizon Europe, EIC Pathfinder, national PNRR projects, and collaborations with leading academic and industry partners.
What we’re looking for
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- A PhD, or near completion, in physics, computer science, engineering, or another quantitative field
- Strong experience in machine learning, computational neuroscience, neuroimaging, signal processing, or related areas
- Excellent Python skills and hands‑on experience with deep‑learning frameworks such as PyTorch, JAX, or TensorFlow
- Background in one or more of: representation learning, multimodal learning, contrastive learning, diffusion models, LLMs, generative AI, encoding/decoding models, or topographic brain modelling
- Experience with real neural data such as fMRI, EEG/MEG, ECoG, iEEG, or multi‑unit spiking data
- Strong scientific communication skills and enthusiasm for interdisciplinary collaboration
- Publications 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.
You will have the opportunity to:
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- Work on cutting‑edge NeuroAI and BCI research
- Access large‑scale neural datasets and state‑of‑the‑art computing resources, including HPC and GPUs
- Collaborate with international academic labs and industry partners
- Build open‑source tools for the scientific community
- Publish, attend conferences, mentor students, and help define the future of brain‑tech innovation
- Work in a flexible, international environment
How to apply
Please send your CV, a brief statement of research interests, and optionally 1–2 representative publications, projects, or GitHub links to the recruiting contact. xlwpduy Applications are reviewed on a rolling basis. If you are passionate about advancing neuroscience and AI through open, collaborative, and scientifically rigorous research, we would love to hear from you.
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