Thursday, June 9, 2022

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

2 x Dual-Award Fully-funded PhD Scholarships on Optimization / AutoML /
Automatic Algorithm Configuration
=========================================================================

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)

## Notes: ##

* Please check that you meet the academic and language entry requirements:
https://www.alliancembs.manchester.ac.uk/study/phd/entry-requirements/

* It is sufficient to submit a statement of motivation, you do not need to
write a research proposal in your application.

* If you wish to apply but require more time to gather the documents required,
please apply and let us know.

Do not hesitate to contact the lead supervisors of each project with any questions!

**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************