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Artificial intelligence experimental design for healthcare data


   Computer Science

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  Dr C Grosan  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The PhD research will investigate efficient ways of applying artificial intelligence in healthcare.

Artificial intelligence and, in particular, machine learning algorithms have proved extremely efficient in dealing with data generated by healthcare practitioners. However, in order to make the best of these approaches, it is important to design the machine learning experiments in a way that is optimal in terms of resources involved and in terms of the accuracy of the results.

In the machine learning community, a test/train split of data is something done in a standard way, mostly random, with a certain distribution. For clinical data, such a split in the experimental phase might not make sense. The data could be split by various attributes: by individual patient, by condition, in a temporal way, and so on. Identifying the right statistical setting for performing the experiments is a challenging task.

There are two challenges that this research will investigate, in a statistical design of artificial intelligence experiments for particular types of clinical data:

  • Identifying the best learning method to be applied, together with the optimal parameter setting for it
  • Identifying the best learning strategy: which data should be used for training and which for testing

The post holder will work closely with healthcare providers and domain experts.

Research journey

Doctoral research programmes (PhDs) take a proud place in the world-class research environment and community at Brunel. PhD students are recognised and valued by their supervisors as an essential part of their departments and a key component of the university's overall strategy to develop and deliver world-class research.

A PhD programme is expected to take 3 years full-time or 6 years part-time, with intakes starting in January, April or October.

The general University entrance requirement for registration for a research degree is normally a First or Upper Second Class Honours degree (1st or 2:1) or an international equivalent. A Masters degree is a welcome, but not required, qualification for entry.

Find out how to apply for a PhD at Brunel

Research support

Excellent research support and training

The Graduate School provides a range of personal, professional and career development opportunities. This includes workshops, online training, coaching and events, to enable you to enhance your professional profile, refine your skills, and plan your next career steps as part of the Researcher Development Programme. The researcher development programme (RDP) offers workshops and seminars in a range of areas including progression, research management, research dissemination, and careers and personal development. You will also be offered a number of online, self-study courses on BBL, including Research Integrity, Research Skills Toolkit, Research Methods in Literature Review and Principles of Research Methods.

Library services

Brunel's Library is open 24 hours a day, has 400,000 books and 250,000 ebooks, and an annual budget of almost £2m. Subject information Specialists train students in the latest technology, digital literacy, and digital dissemination of scholarly outputs. As well as the physical resources available in the Library, we also provide access to a wealth of electronic resources. These include databases, journals and e-books. Access to these resources has been bought by the Library through subscription and is limited to current staff and students. 

Dedicated research support staff provide guidance and training on open access, research data management, copyright and other research integrity issues.

Find out more: Brunel Library

Careers support

You will receive tailored careers support during your PhD and for up to three years after you complete your research at Brunel. We encourage you to actively engage in career planning and managing your personal development right from the start of your research, even (or perhaps especially) if you don't yet have a career path in mind. Our careers provision includes online information and advice, one-to-one consultations and a range of events and workshops. The Professional Development Centre runs a varied programme of careers events throughout the academic year. These include industry insight sessions, recruitment fairs, employer pop-ups and skills workshops.


Funding Notes

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.

How good is research at Brunel University London in Computer Science and Informatics?


Research output data provided by the Research Excellence Framework (REF)

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