Postdoctoral Research Scientist in NeuroAI

Postdoctoral Research Scientist in NeuroAI
Posted: 18.05.2026
Job reference: f
University of Rome Tor Vergata × @Tether Evo
The University of Rome Tor Vergata, in collaboration with @Tether Evo, is looking for a highly motivated Neuro

AI 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 Neuro

AI 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

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 in variance, 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

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 Tensor Flow
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:

Work on cutting‑edge Neuro

AI 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 Git Hub links to the recruiting contact. 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.
#J-18808-Ljbffr