University of Southampton PhD Scholarship in Sustainable Generative AI models 2026

University of Southampton PhD Scholarship in Sustainable Generative AI models 2026

Institution: University of Southampton Funding Body: UKRI AI Centre for Doctoral Training (CDT) on Sustainable AI (SustAI) Program: iPhD AI for Sustainability (9220) Focus: Energy-Efficient Generative AI & Carbon Reduction Application Deadline: 27 January 2026

Scholarship Overview

The University of Southampton is inviting applications for a fully funded PhD scholarship focused on one of the most critical challenges in modern technology: The Sustainability of Artificial Intelligence.

As Generative AI (GenAI) models—such as Large Language Models (LLMs) and image generators—become central to applications ranging from video production to music generation, their environmental impact has skyrocketed. The computational demand for training and running these models consumes vast amounts of energy. This project aims to pioneer advancements in energy-efficient Generative AI, focusing on achieving faster inference times and reduced model sizes without compromising performance or increasing carbon emissions.

This is a unique opportunity to join a multidisciplinary cohort under the prestigious UKRI AI Centre for Doctoral Training on Sustainable AI (SustAI).

Research Project: The Challenge & Goal

The Problem: Current GenAI models are resource-heavy. They require massive data centers and high-end GPUs to function effectively. This limits their accessibility and creates a significant carbon footprint.

The Solution: This research project seeks to address these challenges by developing innovative techniques for efficiency. You will investigate:

• Architectural Innovations: Designing new model structures that require less power.

• Compression Strategies: Reducing the size of models so they can run on smaller devices.

• Algorithmic Improvements: optimizing the math behind the models to speed up processing.

• System-Level Optimizations: improving how hardware and software interact.

The Goal: The ultimate objective is to enable the deployment of state-of-the-art GenAI models across a broader range of computing environments—moving from energy-hungry high-end servers to efficient consumer-level machines (laptops, phones, edge devices).

Funding and Benefits

Funding is provided through the UKRI AI CDT on Sustainable AI (SustAI). This is a prestigious funding scheme that typically offers more than just tuition fees.

• Fully Funded: Covers full tuition fees.

• Stipend: A tax-free living allowance (stipend) to support you during your studies.

• Training: Access to a comprehensive training program including technical skills, responsible AI, and transferable skills.

• Cohort Experience: You will study alongside a diverse group of researchers, fostering collaboration and networking.

Note: Specific funding details and recruitment round deadlines are managed by the UKRI AI Centre for Doctoral Training. Applicants are encouraged to check the official SustAI page for the latest updates.

Eligibility Criteria

The AI for Sustainability CDT prides itself on being multidisciplinary. We are looking for candidates who can think outside the box and work across traditional academic boundaries.

1. Academic Qualifications

• You must hold a 2:1 Honours degree (or its international equivalent).

• English Language: EU and Overseas applicants must achieve an IELTS score of 6.5, with at least 6.0 in each competency.

2. Disciplinary Background We welcome applicants from a diverse range of disciplines, including but not limited to:

• Computer Science & Engineering

• Mathematics & Electronics

• Physical Sciences

• Social Science & Economics

• Business

3. Personal Attributes Academic attainment is only one part of our selection criteria. We equally value:

• Teamwork: The ability to work collaboratively in multidisciplinary teams.

• Passion: Genuine excitement for research and enthusiasm for the specific focus of the CDT (Sustainability).

• Communication: The ability to communicate complex ideas effectively to diverse audiences.

• Aptitude: An aptitude for data analytics and skills relevant to the core themes of the CDT.

Required Application Documents

To ensure your application is processed efficiently, please prepare the following documents:

1. Research Proposal: Outline your understanding of Sustainable AI and your proposed approach.

2. Curriculum Vitae (CV): Detail your academic and professional history.

3. Two (2) Academic References: Letters from previous supervisors or professors.

4. Degree Transcripts & Certificates: Official copies of your qualifications to date.

5. English Language Qualification: (If applicable) Official test scores.

Supervision and Contact

Potential Supervisors: You will need to identify a supervisor within the Faculty of Engineering and Physical Sciences who aligns with this research topic. Please browse the University of Southampton faculty profiles or the SustAI CDT website.

General Enquiries:

• Email: feps-pgr-apply@soton.ac.uk (Doctoral College)

How to Apply (Step-by-Step)

Application Deadline: 27 January 2026

The application process is handled via the University’s online portal. Please follow these instructions carefully:

1. Access Portal: Go to the University of Southampton Student Self-Service website.

2. Select Programme Type: Choose “Research”, Intake “2026/27”, Faculty of “Engineering and Physical Sciences”.

3. Select Mode: Choose “Full time” (or Part time if applicable).

4. Search for Programme: You must search for and select the specific code: iPhD AI for Sustainability (9220).

5. Add Supervisor: In Section 2 of the application, add the name of your proposed supervisor.

CLICK HERE TO APPLY VIA OFFICIAL PORTAL