Qualification Type: | PhD |
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Location: | Newcastle upon Tyne |
Funding for: | UK Students, EU Students |
Funding amount: | £19,237 - please see advert |
Hours: | Full Time |
Placed On: | 13th September 2024 |
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Closes: | 15th December 2024 |
Reference: | COMP2172 |
Award Summary
100% fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). Successful international candidates will be required to fund the difference between the home fees and international fees.
Overview
Autonomous systems are intricate networked models that seamlessly integrate cyber components (computation and communication) with physical elements, operating within a feedback loop. These systems make decisions independently of direct human intervention, and their growing complexity arises from factors such as high-dimensionality, uncertainty, and difficult-to-model dynamics. The primary goal of this research is to address these complexities by developing data-driven techniques that offer mathematical guarantees for verifying and designing safe and secure autonomous systems. These methods aim to integrate fundamental physical principles into data-driven algorithms, enhancing the robustness and adaptability of autonomous systems. The application areas for this project span various domains, ranging from robotic systems to self-driving cars, automated manufacturing systems, and intelligent transportation networks. Candidates will have the opportunity to work at the intersection of formal methods in computer science, control theory, machine learning and cybersecurity.
This studentship offers a unique opportunity to conduct interdisciplinary, high-impact research within a team of diverse researchers. The successful candidate will work under the supervision of Dr Amy Nejati.
Number of awards: 1
Sponsor: School of Computing
Supervisors: Dr Amy Nejati
Eligibility criteria
The applicant should have a master’s degree or close to completion in one of the following areas: Computer Science/Engineering, Systems and Control, Mathematics, Data Science/Machine Learning/Artificial Intelligence, or a closely related field, and willing to gain knowledge on other required areas.
Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills.
The studentship covers fees at the Home rate (UK and EU applicants with pre-settled/settled status and meet the residency criteria). International applicants are welcome but must cover the difference between Home and International fees.
International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate before obtaining a visa for this programme.
How to apply
To make an application please use Apply to Newcastle Portal
Once registered select ‘Create a Postgraduate Application’.
Use ‘Course Search’ to identify your programme of study:
In ‘Further Questions’ section please upload:
In ‘Supporting Documentation’ please upload:
You must submit one application per studentship, you cannot apply for multiple studentships on one application.
Contact details: Dr. Amy Nejati
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