2 x Dual-Award Fully-funded PhDs on Optimization / AutoML / Automatic Algorithm Configuration at University of Manchester and University of Melbourne

Application Deadline: 13 July 2022
(if you need more time to finalize your application, please let us know)

The University of Manchester and the University of Melbourne are offering two fully-funded scholarships to their dual-award PhD programme that provides a unique experience for PhD candidates wishing to include study abroad as part of their research.

The candidates will be enrolled in the PhD program at the Alliance Manchester Business School at the University of Manchester and in the PhD program at the School of Mathematics and Statistics at the University of Melbourne. Receiving a dual-award allows you to benefit from two world-leading institutions.

1. Manchester-based project: Multi-criteria Automatic Algorithm Configuration under Streaming Problem Instances.

This project aims to extend the capabilities of automatic configuration tools to handle multiple conflicting criteria and adapt to such changes in the problem characteristics. For this purpose, the teams at Manchester and Melbourne will join their expertise in automatic configuration of algorithms and instance space analysis. The result of this project will be more powerful tools for tuning and deploying the critical algorithms that our modern world relies on so that they can better adapt to changes in the problems being solved and let users decide the most appropriate trade-off among conflicting criteria.

More information: https://www.findaphd.com/phds/project/multi-criteria-automatic-algorithm-configuration-under-streaming-problem-instances-manchester-melbourne-dual-award/?p145301

Lead supervisor: Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>

2. Melbourne-based project: Explainable Algorithm Selection and Configuration through Instance Space.

This project will develop new analysis methods to help explain the performance (or lack thereof) of the algorithms that are used daily to plan our deliveries, organise our manufacturing plants, schedule our bus routes, optimise our supply chains, etc.

More information: https://research.unimelb.edu.au/research-at-melbourne/melbourne-and-manchester-graduate-research-group/joint-phd-opportunities/explainable-algorithm-selection-and-configuration-through-instance-space

Lead supervisor: Kate Smith-Miles <smith-miles@unimelb.edu.au>

## Supervision team (of both projects) ##

* Associate Professor Manuel López-Ibáñez, Professor Julia Handl (University of Manchester)
* Professor Kate Smith-Miles, Dr Mario Andrés Muñoz-Acosta (University of Melbourne)