PhD Studentship: Agentic AI and Intelligent Autonomous Systems

City St George's, University of London
Clerkenwell, London, London, EC1R 0EA, United Kingdom
Today
£23,805 pa

Salary

£23,805 pa

Job Type
Contract
Work Pattern
Full-time
Posted
10 Aug 2026 (Today)

Placed On:Northampton Square, London, EC1V 0HB, UK

Closes:31st August 2026

Applications are invited for a PhD studentship in the Department of Computer Science at City St Georges, University of London. The successful candidate will work onAgentic Artificial Intelligence—the next generation of AI systems capable of reasoning, autonomous decision-making, task orchestration, and multi-agent collaboration. The successful candidate will work alongside an active research group specialising inAI, blockchain, federated learning, trust frameworks, and intelligent systems.

This fully funded studentship in partnership with industry provides an outstanding opportunity for a technically strong candidate to contribute to cutting-edge research and develop the foundations of trustworthy, adaptive, and self-improving agentic systems.

This PhD research will contribute to the field by:

  • Autonomous multi-agent systems for real-world decision-making
  • Agentic LLMs with planning, tool use, and self-evaluation capabilities
  • Cognitive architectures for self-reflective, self-improving AI
  • Data-driven agents for reasoning, forecasting, and knowledge integration
  • Safe, transparent, and privacy-preserving agent-based AI

Eligibility and requirements

The candidate should have a first or upper second-class BEng and MEng (or equivalent, or higher) degree in Computer Science or a related discipline. They should demonstrate aptitude for original research.

The ideal candidate will have astrong foundation in Python programming and hands-on experience with deep learning frameworks such asTensorFlow orPyTorch. Applicants with a background inNatural Language Processing (NLP)—including model development, fine-tuning, or evaluation—will be givenspecial consideration. Preference may also be given to candidates who have:

  • Demonstratedresearch experience in AI, machine learning, or NLP
  • Published work in reputable conferences or journals
  • Outstanding academic performance in relevant modules or degrees
  • A strong motivation to work on cutting-edge research in Agentic AI

Applicants without prior experience in Conversational AI are unlikely to be considered.

Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £23,805 (increased annually at UKRI rate) and covers tuition fees. Start date 1 October 2026.

If you are interested in applying, please contact with any informal enquiries:

How to apply

Submit your application via the above 'Apply' button.

Only shortlisted applicants will be contacted.

Note: No formal approval from a supervisor is required prior to applying. If you believe you meet theessential criteria, you are encouraged tosubmit your application directly.

A research proposal isnot required, instead applicants must submit a CV that clearly demonstrates:

  • How their background, qualifications, and experience align with the advertised research scope.
  • Relevant experience in Conversational AI, such as voice-based AI systems, chatbots, conversational agents, or related technologies.

For queries regarding the application process, please contact

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.

Related Jobs

View all jobs
Spotlight

Data Engineer - Level 5 Coach - Fully Remote

Corndel London, United Kingdom
Remote
Spotlight

Senior AI Engineer

Bodyswaps London, United Kingdom
Hybrid

PhD Studentship: Extreme Weather Storylines via Generative AI

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom
£21,805 pa Contract

PhD Studentship: Post-Quantum Zero-Knowledge Proofs and Trustworthy AI

University of Sheffield Sheffield, Northern England, United Kingdom
£25,000 pa On-site Clearance Required

PhD Studentship: Wireless Communication, Signal Processing, and AI

The University of Manchester Manchester, Northern England, United Kingdom
£21 pa On-site

PhD Studentship: AI-Driven fault diagnosis for wind turbine generators

University of East Anglia Norwich, South East England, United Kingdom
Contract

PhD Studentship: Machine Learning Accelerated Inverse Design of Graphene Nanoribbons for Green Energy

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom
£21,805 pa On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.