Descrizione:
NeuroAI Research Scientist / Machine Learning Engineer
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.
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
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 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 NeuroAI 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 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
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