Please see the following link for more details about how to apply:
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?