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Cardiovascular regulation during exercise

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  • Full or part time
    Dr James Fisher
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

To sustain exercise, skeletal muscle blood flow must be increased to meet the metabolic requirements of the active muscles. The activation of the sympathetic nervous system plays a critical role in increasing cardiac output and redistributing blood flow to the contracting muscles. The objective of this PhD project is to investigate the neural control of the cardiovascular system during exercise in healthy participants, and better understand how this is altered in chronic disease conditions (e.g. heart failure, atrial fibrillation), and may contribute to impairments in functional capacity.

To find out more about studying for a PhD at the University of Birmingham, including full details of the research undertaken in each school, the funding opportunities for each subject, and guidance on making your application, you can now order your copy of the new Doctoral Research Prospectus, at:

Funding Notes

We welcome applications from Home/EU and overseas students. Students are also welcome to apply with their own funding for this project, either through their own personal funds or by securing a scholarship.

The University of Birmingham offers a number of competitive scholarships for students of the highest calibre. Further details are available at:

Eligibility requirements: An Undergraduate Honours degree with a minimum classification of a 2.1 science BSc or a MSc or equivalent and a life sciences or clinical background. English Language qualification required for international students.


Autonomic adjustments to exercise in humans. Fisher JP, Young CN, Fadel PJ. Compr Physiol. 2015 Apr;5(2):475-512. doi: 10.1002/cphy.c140022.

How good is research at University of Birmingham in Sport and Exercise Sciences, Leisure and Tourism?

FTE Category A staff submitted: 34.40

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

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