PhD Opportunities in AI, Computational Neuroscience Engineering, Mathematics and in Quantum Computing

Applications are invited for two Research at the frontiers of Practice PhD studentships in the School of Science and Technology. The successful candidates will have the opportunity to work on one of the several topics offered by the School.

Applicants are invited to contact the prospective supervisors, email addresses indicated after the thesis title, for informal discussions and to choose, in order of preference, up to three from the following topics: 

• Automatic Verification and Repair of Neural Network Transformers  (Michael.Akintunde@city.ac.uk)
• AI-Powered Online Safety Mechanisms for Protecting Vulnerable Users (Sujit.Biswas@city.ac.uk)
• Safety-Aware, Provably Robust Secure Architecture for Industrial-IoT Using Physics-Informed Graph Neural Networks (Hafizul.Asad@city.ac.uk)
• Fundamental Studies to Enhance the Performance of High Temperature Heat Pump Turbo-Compressors (T.ElSamad@city.ac.uk)
• ML Capabilities for In-House Hardware for Smart Autonomous Structural Health Monitoring (Miguel.Bravo-Haro@city.ac.uk)
• Learning and Unlearning Concurrent Indices (Vitaly.Aksenov@city.ac.uk)
• AI-Enabled Semantic Communications for Digital Twins Creation of Internet-of-Vehicles (Ferheen.Ayaz@city.ac.uk)
• Computational Models for Face-to-Face Communication: Developing Next-Generation Multimodal Language Models with Pragmatic Understanding (Pranava.Madhyastha@city.ac.uk)
• Designing and Testing Quantum Algorithms for the Integration of Nonlinear Dynamical Systems (Felix.Tennie@city.ac.uk)
• AFE AI: Building Trustworthy Artificial Intelligent Systems Integrating Neuro-Symbolic Techniques with Formal Methods (ANTONIO.DI-STASIO@city.ac.uk)
• Kuramoto Models on Geometric Graphs and Hodge Theory (Ximena.Fernandez@city.ac.uk)

Eligibility and requirements 

The candidate should have an upper second-class BSc/BEng/MEng (or equivalent, or higher) degree in Computer Science, Engineering, Physics or Mathematics. They should demonstrate aptitude for original research.

Scholarship

• Funding is for 3 years and will provide an annual tax-free stipend that tracks the UKRI rate (Actually £21,237p/a) and tuition fees.

• In addition to resources within the schools, project/consumable costs of £1500 are covered

Additional income: Each student can also earn around £2.200/year on an average (max. is around £4.300/year) through a teaching assistantship.

The application and selection process are run through the School you apply to and involves senior academic staff from the relevant disciplines.

The ideal candidate should have a strong foundation in one or more of the disciplines related to the topics proposed above. Preference may be given to candidates with demonstrated excellence in these areas, such as a strong academic record.

A doctoral candidate is expected to meet the following pre-requisites for their PhD: 

• Demonstrate a sound knowledge of their research area
• Achieve and demonstrate significant depth in at least a few chosen sub-areas relevant to their primary research area
• Demonstrate the ability to conduct independent research, including a critical assessment of their own and others’ research

If you are interested in applying, please address any initial informal enquiries by email to alfredo.pinelli.1@city.ac.uk.

How to apply
Online applications should be submitted via the below link:
School of Science & Technology Doctoral Studentships • City, University of London

For queries regarding the application process, please contact pgr.sst.enquire@city.ac.uk

City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. City operates a guaranteed interview scheme for disabled applicants.

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