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Postdoctoral Research Scientist in NeuroAI

Job in Rome, Lazio, Italy
Listing for: Università di Roma Tor Vergata
Full Time position
Listed on 2026-06-15
Job specializations:
  • Research/Development
    Artificial Intelligence, Data Scientist
  • IT/Tech
    Artificial Intelligence, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 50000 - 70000 EUR Yearly EUR 50000.00 70000.00 YEAR
Job Description & How to Apply Below
Neuro

AI Research Scientist / Machine Learning Engineer
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.

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

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 these areas: representation learning, multimodal learning, contrastive learning, diffusion models, large‑language models, 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

Why join us
This is a unique opportunity to shape the emerging field of Neuro

AI through a collaboration between a leading academic research group and Tether Evo, working on open, ethical, and impactful AI for brain science.

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

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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