Postdoctoral Research Scientist in NeuroAI
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Posted: 18.05.2026
Job reference: e6b1d53c5269e72599251e6e2789323f
University of Rome Tor Vergata
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@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
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
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:
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. xjrgpwk 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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