|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||Not Specified|
|Placed On:||27th March 2023|
|Closes:||13th April 2023|
Project summary: Governments and policy makers are increasing their use of machine learning (ML) to support decision-making. The performance of ML algorithms generally improves with the increase of model complexity, which makes it harder for end-users to interrogate the model output. This PhD project aims to bridge the gap by developing a novel process and framework to ensure that ML models can be better understood, and therefore more readily adopted by policy makers.
Deadline: 13 April 2023
Duration: 36 months full-time
Funding details: Fully-funded scholarship for 3 years covers all university tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference.
Number of places: 1
Eligibility: 1st class first degree and/or an excellent Masters-level qualification or overseas equivalent in a relevant computer science, management science, operations research, mathematics and statistics, and data science from a recognised academic institution.
Project details: This PhD project aims to develop a novel processes and frameworks to ensure that machine learning algorithms can be explained and therefore more readily adopted by policy makers.
Specifically, the project aims to answer the following research questions:
Primary supervisor: Dr Bin Liu
Type / Role: