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The circadian clock in the ageing plant

Project Description

Plants respond to environmental signals in a time-of-day dependent manner,
but we do not yet know how this process is affected by age. In the long term,
we would like to predict how changes in weather throughout a growth season
will influence a plant, so farmers can plan their harvests even under
unpredictable weather patterns caused by climate change.

This PhD project will investigate how the genetic targets of the circadian clock
change as plants age, with a focus on environmental signaling and
developmental genes. We are looking for a candidate that wants to develop
into a well-rounded computational and experimental scientist. For instance, a
great candidate could be a statistics or computer science graduate who wants
some exposure to experimental work or a biology student who wishes to focus
their PhDs on bioinformatics and statistics.

From a ‘data science’ perspective, the project is interesting because it will
include ‘time series’ of ‘time series’ across different time scales
(developmental time series of circadian time series). From a biological
perspective, it focusses on a fundamental question: how is circadian
regulation of gene expression affected by aging?

Funding Notes

This studentship is fully funded for four years and covers: (i) a tax-free annual stipend at the standard Research Council rate (£15,009 estimated for 2020 entry), (ii) research costs, and (iii) tuition fees at the UK/EU rate.


Entry requirements: Students with, or expecting to gain, at least an upper second class honours degree, or equivalent, are invited to apply. The interdisciplinary nature of this research project means that we welcome applications from students with backgrounds in any biological, chemical, and/or physical science, or students with mathematical backgrounds who are interested in using their skills in addressing biological questions.

How good is research at University of York in Biological Sciences?

FTE Category A staff submitted: 44.37

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

Click here to see the results for all UK universities

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