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Topic

Algorithms for large scale optimization problems

12 June 2026

Host Faculty: Engineering

General Subject Area: Mathematics

Project Level: Master's

HOW TO APPLY

This project investigates the development, analysis and implementation of algorithms for large scale optimization problems, including those in application areas such as machine learning. The project specifics will be based upon the prospective student's interests and background.

 

Supervisors

Primary Supervisor: Rachael Tappenden

 
Key qualifications and skills

Mathematical and programming skills

 
Does the project come with funding

No - Student must be self-funded

 

Final date for receiving applications

Ongoing

 
How to apply

Apply by email to primary supervisor

 

Keywords

Optimization; numerical linear algebra; machine learning

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