Funded PhD Position in Artificial Intelligence for Neuroimaging, NeuroAI and Health – Universit[...]
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Funded PhD position in our research group in Rome
We are recruiting for a three-year funded PhD position in our group at the University of Rome “Tor Vergata”, within the Italian National PhD Programme in Artificial Intelligence – Health and Life Sciences, 42nd cycle.
We are looking for a bright, curious and highly motivated candidate with a strong quantitative background who is interested in developing innovative artificial intelligence methods for studying the brain, biological systems and human health.
Depending on the candidate’s interests and expertise, the PhD research may address one or more of our group’s core areas:
- NeuroAI and computational neuroscience
- foundation models, deep learning and generative AI
- graph machine learning and brain-network analysis
- multimodal neuroimaging, including MRI, PET and CT
- EEG, MEG and intracranial signal analysis
- neuromodulation, focused ultrasound and neurotechnology
- quantitative biomarkers and personalised medicine
- physical, mathematical and causal modelling of biological systems
We particularly welcome candidates with backgrounds in computer science, engineering, physics, mathematics, data science or closely related quantitative disciplines. Experience with Python, machine learning, deep learning, image analysis, signal processing or computational modelling is highly valued.
The successful candidate will join an interdisciplinary and international environment, with access to advanced data and technologies and opportunities to collaborate with leading academic, clinical and industrial partners.
This preliminary contact does not replace the formal application. To participate in the selection process, candidates must also submit a complete application through the official portal before the deadline.
Host institution: University of Rome “Tor Vergata”, Italy
Our publications:
https://scholar.google.com/citations?hl=en&user=kyI6AJ8AAAAJ
Please share this opportunity with talented candidates interested in helping us build the next generation of AI technologies for the brain and human health
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