PhD Biological Sciences - Predicting Developmental Responses to Environmental Challenge

DoS: Dr Oliver Tills (oliver.tills@plymouth.ac.uk)

2^nd Supervisor: Professor John Spicer (j.i.spicer@plymouth.ac.uk)

3^rd Supervisor: Dr Manuela Truebano (manuelatruebano@plymouth.ac.uk)

4^th Supervisor: Mr Ziad Ibbini ziad.ibbini@plymouth.ac.uk

Applications are invited for a three-year PhD studentship. The studentship will start on 1^st October.

Project Description

Organismal development is an incredibly dynamic and sensitive process and for many species it is occurring in an increasingly volatile environment. Yet within a species, there exists significant inter-individual variability in the development of both an embryo’s form and function and this can have significant implications for both individual organisms and evolutionary processes. This PhD studentship will use high-throughput bioimaging and deep learning to investigate the extent to which biological variation in unstable environments can be used to predict later biological processes, sensitivities and outcomes. The overarching goal is to test the predictive capacity of variation in developing organisms. Phenomics, is the acquisition of high-dimensional data on an organism wide scale and will be an approach central to this research. Using the techniques established in the EmbryoPhenomics research group you will acquire high temporal, spatial and functional resolution data describing changes in the form and function of developing embryos. Deep learning will then be applied to testing the capacity of these data to predict subsequent biological responses of individuals, ranging in timescale from hours to days, and even months.

You will be working in the dynamic Ecophysiology and Development Research Group performing both high-throughput phenotyping experiments and using these to inform and test models trained using deep learning. The study system for this research will be the great pond snail Lymnaea stagnalis, and you will be capitalising on instrumentation and computer vision pipelines already created by the team. Skills developed during this studentship will include embryology, computational biology, deep learning and high-throughput phenotyping.

Eligibility

Applicants should have a first or upper second class honours degree in an appropriate subject and/or a relevant Masters qualification. (Experience of phenomics, imaging and research in ecophysiology is useful, but not essential. Training will be provided).   

If your first language is not English, you will need to meet the minimum English requirements for the programme, academic IELTS score of 6.5 (with no less than 5.5 in each component test area) or equivalent.

The studentship is supported for 3 years and includes either full Home tuition fees or International Fees (as applicable) plus a stipend of £18,110 2023/24 rate (2024/25 rate TBC).

If you wish to discuss this project further informally, please contact Dr Oliver Tills – oliver.tills@plymouth.ac.uk .

To apply for this position please click the Apply button above.

Please clearly state the name of the DoS and the title of the studentship that you are applying for on the top of your personal statement.

Please see here for a list of supporting documents to upload with your application.

For more information on the admissions process generally, please visit our How to Apply for a Research Degree webpage or contact the Doctoral College.

The closing date for applications on 3^rd June 2024. Shortlisted candidates will be invited for interview shortly after the deadline. We regret that we may not be able to respond to all applications.  Applicants who have not received a response within six weeks of the closing date should consider their application has been unsuccessful on this occasion.

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