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Modelling hormonal rhythms for biomedical control

  • Full or part time
    Prof R Harrison
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Much of the body’s biochemistry changes level according to time of day, season or other variables and there is a great deal of interest in understanding these variations particularly from the perspective of identifying and treating disease. Unlike a "normal", engineering signal processing problem, the available data is typically short (rarely more than one cycle), highly noisy owing to the difficulty in measuring hormone levels in the blood, and often has one or more missing samples. Luckily there are often multiple samples from a number of individuals. All these demand new techniques to model them and draw appropriate inferences. These might include multilevel Bayesian modelling, non-linear (Kalman) filtering or non-linear system identification.

Once a good model is found it can then be used to improve therapy e.g. within open or closed loop, non-linear control. The specific project would be determined in discussion depending on your interests and experience.

You should have a good degree in a relevant, numerate subject with strengths in mathematical analysis, probability & statistics, control theory and strong programming skills e.g. Matlab, Python, C or Java. Experience/training in biology or bio-medicine would be advantageous but is not necessary.

Funding Notes

This is an unfunded position. Candidates will require their own funding or can apply for a Scholarship from the University of Sheffield. Please note that competition for these is highly competitive. View Website

How good is research at University of Sheffield in General Engineering?

FTE Category A staff submitted: 21.80

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

Click here to see the results for all UK universities

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