PhD: Sustainable & 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

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