[Opt-Net] Manchester-Melbourne Fully-funded Dual-Award PhD on Optimization / AutoML / Automatic Algorithm Configuration (deadline Jan 19, 2024)

[Manuel López-Ibáñez]

*** Scholarship for a Dual-Award PhD from both the University of Manchester 
(UK) and the University of Melbourne (Australia) on the topic of Automatic 
Algorithm Configuration / Hyper-parameter Optimization / AutoML within the 
context of mathematical optimization. ***

Deadline: January 19, 2024 (with a start date of September 2024)
(if you need more time to finalize your application, please let us know)

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

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.

What you get:

  * Two PhD degrees from top universities, The University of Manchester (top 10 
in Europe, top 50 in the World) and The University of Melbourne (1st in 
Australia, top 30 in the World).
  * All University fees paid by the project.
  * Competitive stipend of at least 18,622 GBP / year (tax-free) with yearly 
increments for the duration of the project (four years).
  * 3 years at the University of Manchester and one-year at the University of 
Melbourne.

The candidate 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.

More information: https://lopez-ibanez.eu/dual-award-2024

For questions related to your application, contact the Faculty of Humanities’ 
Doctoral Academy (HUMS.doctoralacademy.admissions at manchester.ac.uk)

For questions about the topic, please contact Dr Manuel López-Ibáñez 
(manuel.lopez-ibanez at manchester.ac.uk) with an up-to-date CV including any 
publication profile.

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Dr Manuel López-Ibáñez | Senior Lecturer (Assoc Prof) | Director of 
Postgraduate Taught Programmes | Alliance Manchester Business School | The 
University of Manchester, UK | Room 3.050 | Booth Street West | Manchester M15 
6PB | +44 (0)161 3063481 | http://lopez-ibanez.eu
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Manchester-Melbourne Dual-PhD on Optimization / AutoML / Automatic Algorithm 
Configuration (deadline Jan 19 2024): https://lopez-ibanez.eu/dual-award-2024
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ACM Transactions on Evolutionary Learning and Optimization (TELO): 
https://telo.acm.org
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AMBS PGT Handbook: https://ambs.pgthandbook.manchester.ac.uk
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Student appointments via https://calendly.com/manuel-lopez-ibanez
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