About the Project
PhD Positions Available: Neuro-AI Lab at Technion
About Us: Our projects range from developing Brain-Computer Interfaces (BCIs) for both rodents and humans to creating theoretical and computational models of neural activity, and training cutting-edge machine-learning models, including large language models (LLMs).
University Environment: The Technion offers a world-class research environment with state-of-the-art facilities and a strong international community. The lab is embedded within the Technion’s AI and neuroscience communities and maintains active collaborations with research groups abroad. We strongly encourage international mobility, supporting students in undertaking research visits, internships, and collaborative projects at partner institutions. In light of the current political situation, international students are particularly encouraged to take advantage of these collaborations, including opportunities to spend extended periods working in partner laboratories abroad.
Lab Homepage: Technion Neuro-AI Lab
Project Descriptions & Candidate Profiles: We are seeking candidates with computational/theoretical or experimental expertise in the following areas:
- Computational Projects:
- Focus: Machine learning, artificial intelligence, and training of various network algorithms.
- Relevant Backgrounds: Computer Science, Electrical Engineering, Data Science, etc.
- Theoretical Projects:
- Focus: Developing theoretical and computational predictions for neural experiments.
- Relevant Backgrounds: Physics, Mathematics, Applied Mathematics, Computer Science, etc.
- Experimental Collaborations:
- Focus: Developing experimental setups with advanced computational tools for BCIs in collaboration with partner labs.
- Relevant Backgrounds: Neuroscience, Biology, Medicine, etc., with strong computational skills.
What We Offer:
- A stimulating and supportive research environment.
- Access to state-of-the-art equipment and infrastructure.
- Opportunities for interdisciplinary scientific development.
- An international and collaborative team atmosphere.
- Comprehensive training in a wide range of scientific skills.
- Opportunities to present your research at international conferences and workshops.
- Extensive support for career development beyond your Ph.D.
Application Deadline: We encourage candidates to apply as soon as possible. Our goal is to fill positions by October 2026.
How to Apply: Please send your CV and full academic transcript directly to Prof. Stefano Recanatesi (stefano@technion.ac.il).
Funding Notes
Guaranteed funding through internal university budgets