Predicting developmental responses to environmental challenge

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

Apply

To apply please use the online application form. Simply search for PhD Biological Sciences (and select the entry point of October 2024).
Online application
Before applying, please ensure you have read the Doctoral College’s general information on Apply for a postgraduate research programme.
For more information on the admissions process, please contact research.degree.admissions@plymouth.ac.uk
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.
The closing date for applications on 3 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.
 
Mandatory documents
Please submit with your application, the following mandatory documents:  
  • A one-page personal statement, your personal statement should briefly explain why you have chosen to apply to the studentship and what you feel you can offer our research community. Please clearly state the project title that you are applying for and the name of the research lead Supervisor on the top of your personal statement. 
  • CV/résumé, detailing your full education and employment history (and current status), publication, experience, etc. 
  • Evidence of up-to-date qualifications (certificates and transcripts for masters or bachelor degrees, plus any relevant professional qualifications). 
  • The details of two academic referees (please provide names and details on the application form).
  • English language qualifications. If your first language is not English, please upload a copy of any English language qualifications you have (for example, IELTS or PTE Academic). 
Please clearly state that you are applying for the project title ‘Predicting developmental responses to environmental challenge’ and the name of the lead Supervisor on the top of your personal statement.