PhD in Sustainable and Scalable Generative AI

Laplace Expert Ltd; Greater London; Remote; GBP 21,000 - 25,000; Full time

Benefits offered by this job

PhD stipend

Job summary

University College London invites applications for a funded PhD project on scalable and efficient generative AI within the Department of Computer Science. The research will explore architectures, algorithms, and system-level methods to lower costs for training and inference while preserving performance.

Open to Home students; EU applicants may apply with resident status. The project focuses on real-time inference, dynamic resource allocation, and scalable AI architectures, with a strong emphasis

Qualifications

• UK 2:1 degree or international equivalent.
• Completed projects and relevant coursework in mathematics and ML.
• Published research papers at top conferences or Q1 journals desirable.

Responsibilities

• Develop architectures and algorithms for scalable generative AI.
• Investigate systems-level methods to reduce training/inference cost.
• Explore real-time inference and dynamic allocation of computing resources.

Skills

Generative AI

Machine learning algorithms

Scalable AI architectures

Real-time inference

Dynamic resource allocation

Systems computing

Embedded computing

Programming

Education

UK 2:1 degree or international equivalent

Job description

PhD in Sustainable and Scalable Generative AI

University College London · Department of Computer Science

United Kingdom

Applications accepted all year round

About This Opportunity

Funded UCL PhD project on scalable and efficient generative AI, focusing on architectures, algorithms and system-level methods for low-cost training and inference.

This PhD project at University College London focuses on improving the efficiency and scalability of generative AI models. The research will develop novel architectures, machine-learning algorithms, and system-specific tools to reduce computational cost while maintaining performance. The project may address training and inference efficiency, monitoring of resource consumption, real-time inference, and dynamic allocation of computing resources across different deployment environments.

Artificial Intelligence Machine Learning Generative AI Systems Computing

Level PhD

Field Scalable Generative AI

Specialization Artificial Intelligence & Data Science

Organization Type University

Requirements

Education

UK 2:1 degree or international equivalent.

Experience

Completed projects and relevant coursework in mathematics and machine-learning-related subjects are expected as evidence of a strong ML foundation. Published research papers at top conferences or Q1 journals are desirable.

Technical Skills

• Generative AI
• Machine learning algorithms
• Scalable AI architectures
• Real-time inference
• Dynamic resource allocation
• Systems computing
• Embedded computing
• Programming

General Skills

• Resource-aware problem solving
• Research motivation

Languages

Open only to Home students; EU students may apply with resident status.