Would you like to discover, learn and create new nature-inspired models of computation, learning and evolution?

Exciting PhD projects under my supervision, funding available!

• “Novel computational models for neuroplasticity in the brain and in brain-inspired intelligent machinery”

Related areas: computational neuroscience, neurobiology, neuromorphic computing, synthetic biology, neural dynamics and systems, dynamical systems, complex networks, complex systems, brain networks, brain modelling, artificial intelligence, advanced algorithms, spiking neural networks, artificial neural networks, evolving systems, neurodegenerative diseases.

Desired background and qualifications. This project is suitable for students keen on exploring creative and inter-disciplinary work, with enthusiasm for neuroscience, neurobiology, brain modelling, and neuromorphic computing. Students with a background/degree in electrical engineering, biology or mathematics are welcome. The student must have studied some mathematics and control systems at undergraduate or graduate level. It is desirable to have experience in neurobiology and knowledge on the biological processes of the brain. A strong background in mathematics is necessary.

• “Hybrid-system-based models for collective intelligence, self-learning and adaptation in complex systems”

Related areas: hybrid dynamical systems, cyber-physical systems, hybrid automata, control engineering, dynamical systems, complex networks, complex systems, formal methods of computer science, applied mathematics, simulation and modelling, artificial intelligence, advanced algorithms.

Desired background and qualifications. This project is suitable for students keen on exploring creative and inter-disciplinary work, with for automata theory, dynamical systems, complex networks, hybrid systems, control engineering and algorithms. Students with a background/degree in electrical engineering, physics or mathematics are welcome. The student must have studied mathematics and control systems at undergraduate or graduate level, or at least, have a strong background in mathematics and dynamical systems theory.

Submission of your application

To submit your application, please, visit the webpage Computing and Information Sciences Ph.D. Here, you will find the documents you should submit and the requirements in section “Application Details”. Please, also check the section “Additional Information->Prerequisites”.

More information about funded PhD opportunities is available at the following link. More information about the PhD Program in Computing and Information Sciences at RIT is at this other link.

Research students are welcome

I welcome applications from enthusiastic research students interested in any of my research areas. You should ideally have a background and interest in differential equations, dynamical systems analysis, simulation, network science, brain modelling, artificial intelligence, data science, and formal methods of computer science. Please, send me an email at eva.navarro@rit.edu if you would be interested. You can obtain further information about the postgraduate studies, funding opportunities and application procedures following this link.