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Knowledge Driven Search-Based Optimisation for Software Performance

  • Full or part time
  • Application Deadline
    Friday, February 14, 2020
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

About This PhD Project

Project Description

Application details:
Reference number: TC/CO/2020
Start date of studentship: 1 October 2020
Closing date of advert: 14 February 2020

Primary supervisor: Dr Tao Chen
Secondary supervisor:

This project offers:
• The chance to take part in a project that will have real world impact, e.g., potential to help engineers to build better software systems that impact millions.
• The chance to work with world-leading experts from UK, China, US, Canada and Australia
• Opportunities for research skills training
• Excellent networking opportunities within a team of experts in the field.
Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College.
Loughborough University has a flexible working and maternity/parental leave policy ( and is a Stonewall Diversity Champion providing a supportive and inclusive environment for the LGBT+ community. The University is also a member of the Race Equality Charter which aims to improve the representation, progression and success of minority ethnic staff and students. The School of Science is a recipient of the Athena SWAN bronze award for gender equality.
Find out more:
Founded in 1974, the Department of Computer Science has been ranked 4th in the UK for Computer Science (Guardian University Guide 2018) and has an excellent research track record in Artificial Intelligence, Computational Intelligence, Software and System Engineering.
Full Project Detail:
The performance of software systems is a crucial, but challenging property to maintain due to the complexity in code, configuration and architecture of the software. This project seeks to rely on Search-Based Software Engineering, a paradigm that concerns tailoring AI/search algorithms for various software engineering problems, to intelligently optimize software performance at various levels and granularities. The student will investigate how to specialise and design novel search algorithms, such that the expertise knowledge of software engineers can be combined, in order to find better performance results quicker. The student will evaluate the approach using both experimental and empirical evaluation, under real-world open-source software systems and/or datasets that are widely used. Applicants with strong backgrounds in Software Engineering, Artificial Intelligence, Computational Intelligence, Operations Research and their intersection are a plus.
Find out more:
Entry requirements:
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Computer Science, Software Engineering, Artificial Intelligence or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: software performance engineering, search-based algorithms, metaheuristics algorithms.

Funding information:
This studentship will be awarded on a competitive basis to applicants who have applied to this project and/or any of the advertised projects prioritised for funding by the School of Science.
The 3-year studentship provides a tax-free stipend of £15,009 (2019 rate) per annum for the duration of the studentship, plus tuition fees at the UK/EU rate. This studentship is only available to those who are eligible to pay UK/EU fees.
Contact details:
Name: Dr Tao Chen
Email address:
Telephone number: +44 (0)1509 564 118

How to apply:

All applications should be made online at Under programme name, select Computer Science

Please quote reference: TC/CO/2020.

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