Number of awards
1
Start date and duration
September 2021 for 3.5 years.
Overview
In this project we aim at making fundamental advances in developing computational models that can accurately explain brain’s behavior and advise treatment strategies for epilepsy. We develop and analyse accurate models to design stimulation strategies to control the seizures. We plan to use both model-based and data-driven approaches including recurrent neural netoworks (RNNs). We will encode an RNN as time-evolution of a dynamical system and develop and use advanced techniques from control theory and dynamical systems for analysis of RNNs. Candidate techniques are model reduction, abstraction-based verification, and compositional synthesis methods. Supported by EPSRC, this studentship allows exploring the synergy between neuroscience and control theory and identifying hard control challenges that originates from the nervous system.
This project is suitable for students interested in both rigorous mathematical reasoning and translating theory into practice. This studentship provides a unique opportunity to perform interdisciplinary, high-impact research within a group of interdisciplinary researchers. The successful candidate will work closely with Dr Soudjani and Dr Wang. The candidate will join the AMBER group and will have close collaboration and interaction with scientists in ICOS group on Neuroinformatics. The student will be based in the School of Computing, housed in a new, state-of-the-art, £58 million building, at the heart of the lively city of Newcastle. This project can be started remotely until the imposed pandemic restrictions allow otherwise.
Sponsor
EPSRC funded studentship
Name of supervisor(s)
Dr Sadegh Soudjani and Dr Yuijang Wang.
Eligibility Criteria
The successful candidate has an excellent first degree in, e.g. control engineering, computer science, mathematics, or neuroscience. For this interdisciplinary research, the candidate is expected to have a strong background in one of the three areas (control theory, computer science, neuroscience) and wish to gain knowledge on the other two areas. The candidate should have strong analytical skills and comfortable working with mathematical concepts.
This award is available to home and international (incl. EU) applicants.
How to apply
You must apply through the University’s online postgraduate application system. To do this please ‘Create a new account’.
All relevant fields should be completed, but fields marked with a red asterisk in the application portal must to be completed. The following information will help us to process your application. You will need to:
- insert the programme code 8050F in the programme of study section
- select ‘PhD in Computer Science (full time)– Computing Science as the programme of study
- insert the studentship code COMP2108 in the studentship/partnership reference field
- attach a covering letter and CV. The covering letter must state the title of the studentship, quote reference code COMP2108 and state how your interests and experience relate to the project
- attach degree transcripts and certificates and, if English is not your first language, a copy of your English language qualifications
- Please also send a copy of your CV to [Email Address Removed].
Contact
Applicants are encouraged to contact Dr Sadegh Soudjani before making an application by emailing [Email Address Removed]
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