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University of St Andrews

PhD in Deep Learning for Time-Series Genomic Biodiversity Projects University of St Andrews in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

This is a 4-year competition-funded PhD project through the EASTBIO BBSRC Doctoral Training Partnership. Funding covers a stipend at the UKRI standard rate and UK-level tuition fees; the University of St Andrews will cover the Home-International fee difference.

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Country

United Kingdom

University

University of St Andrews

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Keywords

Computer Science
Evolutionary Biology
Population Genetics
Environmental Science
Deep Learning
Biology
Mathematics
Statistics
Bioinformatic
Convolutional Networks

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About this position

PhD opportunity at the University of St Andrews in Deep Learning for time-series from genomic biodiversity projects, hosted by the School of Biology and supervised by Dr C Kosiol and Dr Rui Borges.

This project sits at the intersection of biology, bioinformatics, evolutionary biology, genetics, ecology, zoology, and computer science. The research focuses on how populations adapt to changing environments using genomic time-series data, including samples from natural history museums, laboratory evolution experiments, and wild populations. The student will develop deep learning methods to analyse allelic frequency trajectories under selection, building on Polymorphism-aware phylogenetic models (PoMos) and the frequency-based method Bait-ER.

The work will involve simulation-based modelling of complex spatial and demographic scenarios, training a convolutional neural network (CNN), and applying the model to real data to classify evolutionary processes and estimate PoMo parameters. The project aims to improve inference from temporal genomic data and support understanding of biodiversity change over time.

Funding: 4-year competition-funded PhD via the EASTBIO BBSRC Doctoral Training Partnership. Funding covers a stipend at the UKRI standard rate and UK tuition fees; the university covers the Home-International fee difference.

Eligibility: Open to UK and international students. English language qualification is required if applicable.

How to apply: Complete the EASTBIO EDI survey and application form, then submit an online application through the University of St Andrews portal. Select PhD with internship and include the required documents and two references.

Location: St Andrews, United Kingdom.

Funding details

This is a 4-year competition-funded PhD project through the EASTBIO BBSRC Doctoral Training Partnership. Funding covers a stipend at the UKRI standard rate and UK-level tuition fees; the University of St Andrews will cover the Home-International fee difference.

What's required

Applicants should be interested in evolutionary biology, genomic data analysis, deep learning, and computational modelling. The project mentions English language qualification if applicable and requires completion of the EASTBIO application form, academic qualifications, and two references. UKRI eligibility guidance applies; the opportunity is open to UK and international students.

How to apply

Download and complete the EASTBIO Equality, Diversity and Inclusion survey and application form. Submit an online application through the University of St Andrews portal and select the course 'PhD with internship'. Arrange for two references using the EASTBIO reference form and have referees upload it or email it to [email protected].

More information can be found here

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