Fully Funded PhD Studentship in Foundational AI

Laplace Expert Ltd; Greater London; Remote; GBP 21,000 - 26,000; Full time

Job summary

University College London (UCL) invites applications for a fully funded PhD studentship in foundational AI within the Department of Electronic and Electrical Engineering. This 4-year program focuses on reinforcement learning, intelligent data acquisition, and foundation models, with applications across communication systems and scientific discovery.

The project emphasizes rigorous mathematical development, computational experiments, and applied AI research, with a stipend provided.

Qualifications

• UK Master’s degree or an upper second-class Bachelor’s degree, or equivalent international qualification, in computer science, electronic engineering, mathematics, statistics or a related discipline.
• Programming experience is required, preferably in Python and modern machine-learning frameworks.
• Previous research experience or publications are desirable but not required.

Responsibilities

• Conduct rigorous AI research with mathematical development and computational experiments as part of the project.
• Develop and evaluate reinforcement learning and data acquisition methods for foundations models and applications in engineering.
• Collaborate with an interdisciplinary team to publish findings and advance knowledge in AI for communication systems and science.

Skills

Reinforcement learning

Intelligent data acquisition

Foundation models

Python programming

Machine learning frameworks

Sequential decision-making

Generative models

Education

Master's degree or equivalent in CS/EE/math

Job description

Fully Funded PhD Studentship in Foundational AI

University College London · Department of Electronic and Electrical Engineering

United Kingdom

No closing date; open until a suitable candidate is found

About This Opportunity

Fully funded UCL PhD studentship in foundational AI, reinforcement learning, intelligent data acquisition and foundation models within electronic and electrical engineering.

This 4-year funded PhD studentship at University College London investigates foundational artificial intelligence and machine learning. The project includes reinforcement learning, intelligent data acquisition, generative and foundation models, and applications in communication systems, engineering and scientific discovery. The work is expected to combine rigorous mathematical development, computational experiments and applied AI research.

Artificial Intelligence Electrical Engineering Electronic Engineering Machine Learning

Level PhD

Duration 4 years

Field Foundational Artificial Intelligence

Specialization Artificial Intelligence & Data Science

Organization Type University

Funding & Compensation

Amount GBP 23,805 / Per Year

Funding Type Stipend

Funding Status Fully Funded

Period Per Year

Tuition Coverage Fully Covered

Stipend Yes

Requirements

Education

UK Master’s degree, or at least an upper second-class Bachelor’s degree, or equivalent international qualification, in computer science, electronic engineering, mathematics, statistics or a related discipline.

Experience

Previous research experience or publications are desirable but not required. Programming experience is required, preferably in Python and modern machine-learning frameworks.

Technical Skills

Reinforcement learning Intelligent data acquisition Generative models Foundation models Machine learning frameworks Python programming Computational experiments Sequential decision-making

General Skills

Mathematical reasoning Analytical thinking Research motivation

Languages

Candidate must meet UCL EEE PhD entry requirements. Funding covers Home (UK) tuition fees; the page identifies the opportunity as UK Students Only.