Postgraduate research opportunities Extending the applicability and explainability of machine learning algorithms for decision making

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Key facts

  • Opens: Monday 17 January 2022
  • Number of places: 1
  • Duration: 36-48 months

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.
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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.

THE Awards 2019: UK University of the Year Winner
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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.

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Supervisors

Dr Bin Liu

Strathclyde Chancellor's Fellow
Management Science

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Professor Matthew Revie

Head Of Department
Management Science

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Number of places: 1

There may be a shortlisting and interview process.

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Management Science

Programme: Management Science

PhD
full-time
Start date: Oct 2021 - Sep 2022

Management Science

Programme: Management Science

PhD
full-time
Start date: Oct 2022 - Sep 2023

Management Science

Programme: Management Science

PhD
full-time
Start date: Oct 2023 - Sep 2024