Next Generation Machine Learning for Data Analysis

Supervisory Team

Dr. Andersen Ang

Project description

We are seeking highly qualified candidates for doctoral positions on the research of Machine Learning (ML).

We are looking for a MSc in applied mathematics, computer science, operations research, statistics, engineering, mathematics, or a related discipline with strong theoretical training.

The project focuses on the theory, algorithms and applications for ML based on generalised nonconvex low-rank models. The goals include designing faster algorithm, understanding the working principle behind ML, applying ML to solve application problems.

This research is a mathematics-heavy project, it is not just about “applying method X on data Y”. You are expected to learn, understand, and develop theory to prove that “why method X will work”, “when will method X work” and “how fast will method X converge”.

You will have the flexibility to choose a topic within the range of this project.

Area/ Topics

Nonsmooth Nonconvex Optimisation

Optimisation on manifold

Analysis of optimisation algorithm by differential equations

Submodularity and Combinatorial Optimisation

Graph-theoretic machine learning

Numerical Analysis / Numerical Linear Algebra

Tensor-based signal processing

Optimal transport for machine learning

Foundation of machine learning via Clifford-Grassmann algebra

Foundation of machine learning via Subtropical algebra

What we offer

High quality training to do theoretical machine learning

Exciting theoretical research topics

Flexible research environment

Requirement

good mathematical skills

good programming skills in a numerical language (such as MATLAB, Python, or Julia)

good communications skills, both written and oral, in English

Before you make a decision, go to angms.science for more information, and contact Andersen Ang [Email Address Removed] to discuss any details of the project.

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). Evidence of good mathematical skills

Closing date: Applications will be considered in the order that they are received, the position will be considered filled when a suitable candidate has been identified.

Funding: We offer a range of funding opportunities for both UK and international students, including Bursaries and Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.

How To Apply

Apply online: Search for a Postgraduate Programme of Study (soton.ac.uk). Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Computer Science (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Dr Andersen Ang

Applications should include:

Research Proposal

Curriculum Vitae

Two reference letters

Degree Transcripts/Certificates to date

For further information please contact: [Email Address Removed]