PhD Studentship - MALAYAN

Machine learning methodology for myalgic encephalomyelitis/chronic fatigue syndrome

Eligibility: Home UK / EU Settled or Pre-Settled status / International

Fees: Tuition fees are waived                                                           

Start date: January 2024 

Project Description 

The School of Engineering, Computing and Mathematics at Oxford Brookes University is seeking an independent and highly motivated candidate from a science or technology discipline to work on machine learning of medical data. 

The project is a collaboration between the School of Engineering, Computing and Mathematics at Oxford Brookes, and Nuffield Department of Women’s and Reproductive Health, University of Oxford. An excellent candidate is expected to develop a robust diagnostic analysis for myalgic encephalomyelitis/chronic fatigue syndrome using innovative machine learning. Criticality Analysis and Deep Learning methods should be used to analyse whole cell Raman Spectroscopy data to determine the metabolic changes during disease progression. 

olde Scheper, T. V. olde. Criticality Analysis : Bio-inspired Nonlinear Data Representation. arXiv 1–13 (2023) doi:10.48550/arxiv.2305.14361.

Xu, J. et al. Developing a blood cell-based diagnostic test for myalgic encephalomyelitis/chronic fatigue syndrome using peripheral blood mononuclear cells. medRxiv 2023.03.18.23286575 (2023) doi:10.1101/2023.03.18.23286575. 

The essential selection criteria include:

• At least an upper second class degree (preferably MSc) in a Science or Technology discipline.
• Evidence of good programming and very good mathematical skills.
• Capability to work independently and as part of a team.
• Excellent written and oral communication and organisational skills.
• A real passion and commitment for research.

The successful candidate will:

• Collaborate with students and staff from across the School.
• Carry out original research contributing to the School’s work in computer science.
• Participate in research meetings and undertake supplementary research training.
• Receive training on research and professional skills.

Entry requirements

UK and EU Settled/Pre-Settled and International applicants can apply.

Applicants should have a first or upper second-class honours degree from a Higher Education Institution in Computing, Computer Science or acceptable equivalent qualification.

Non-UK Applicants must have a valid IELTS Academic test certificate (or equivalent) with an overall minimum score of 7.0 and no score below 6.0 issued in the last 2 years by an approved test centre.

Application process

To apply for this studentship see the submission instructions on our website: https://sites.google.com/brookes.ac.uk/tde-research/studentships-how-to-apply

When completing your application Online via the above 'Apply' button - please note the following:

Title: PhD Studentship – MALAYAN

Please be advised that the selection process may involve an interview.

Select the following course: MPhil/ PhD in Computing

Applications must be completed by 5pm GMT on Friday 20^th October.

For informal inquiries about the project/application process contact Dr Matthias Rolf (mrolf@brookes.ac.uk) or Dr Tjeerd olde Scheper (tvolde-scheper@brookes.ac.uk).

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