Extending the applicability and explainability of machine learning algorithms for decision making at University of Strathclyde on FindAPhD.com

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Dr Bin Liu, Dr Matthew Revie Applications accepted all year round Self-Funded PhD Students Only

Glasgow United Kingdom Business Data Science Management Mathematical Modelling Operational Research Statistics

About the Project

Overview

Machine learning algorithms have attracted considerable attention for prediction and decision-making in various industries. When used for decision-making, it is vital to determine the interpretability of machine learning algorithms.

Project details

This PhD project aims to develop and deploy novel machine learning algorithms to produce interpretable solutions for decision-making problems. The project will explore how to incorporate domain knowledge into the machine learning algorithm and evaluate the uncertainty associated with the prediction algorithm for decision-making.

Eligibility

Students should have (or expect to have) a Bachelor or Master Degree (overall score 65 or above) in Management Science, Computer science, Mathematics and Statistics, Operations Research or other related subjects. Desirable skills in programming, data analytics, optimisation, although not essential.

Where will I study?

University of Strathclyde

Our leading-edge research and close links with business, industry and the public sector makes us the University of choice for a growing number of doctoral researchers.