Leeds Beckett University - City Campus,
Woodhouse Lane,
LS1 3HE
Accurate reconstruction of past sea-level change is essential for improving projections of future sea-level rise in response to climate forcing and for understanding coastal system responses. Salt marshes have been described as ‘geological tide gauges’ (Barlow et al. 2012), and intertidal foraminifera provide one of the most precise proxies for reconstructing relative sea level. However, traditional approaches rely on microscopy-based species identification, which is time-consuming, expertise-intensive, and difficult to standardise between laboratories (e.g. Rush et al., 2021).
This project will develop a novel environmental DNA (eDNA)-based methodology to reconstruct sea-level change from saltmarsh sediments, offering an alternative to conventional micropalaeontological techniques. The PhD builds on recent work demonstrating the feasibility of eDNA approaches in subtropical intertidal mangrove systems (Liu et al., 2025). It will test and refine these methods in temperate saltmarsh environments, where ecological dynamics, preservation potential, and sedimentary processes differ significantly. By integrating molecular, sedimentological, and ecological data, the project aims to establish a robust, scalable framework for next-generation sea-level reconstruction that complements labour-intensive taxonomic identification with high-throughput molecular techniques.
Research aims
The project is structured around three core objectives. First, method development focuses on establishing robust protocols for the extraction and analysis of foraminiferal eDNA from saltmarsh sediments. Second, calibration and validation aim to produce a modern training dataset that links eDNA-derived assemblages with elevation and key environmental gradients, while also comparing these results with those obtained through traditional microscopy-based identifications. Finally, the application objective evaluates the potential of eDNA data to support quantitative sea-level reconstructions using transfer function and machine-learning approaches.
Methods
The PhD candidate will combine and develop multiple methods, including coastal fieldwork and surveying, micropalaeontology and sediment analysis, molecular laboratory techniques (such as eDNA extraction and metabarcoding), and statistical and computational data analysis. The candidate will receive full training in any areas they choose to pursue and is therefore not expected to have prior experience in all of these areas upon application. Through the course of the PhD, it is anticipated that the candidate will develop into a leading researcher in this emerging field.
References
- Barlow, N.L., Shennan, I., Long, A.J., Gehrels, W.R., Saher, M.H., Woodroffe, S.A. and Hillier, C., 2013. Salt marshes as late Holocene tide gauges. Global and Planetary Change, 106, pp.90-110
- Liu, Z., Khan, N.S., Yu, H.K., Chung, A., Schweizer, M. and Schunter, C., 2025. Foraminiferal environmental DNA reveals late Holocene sea-level changes. Communications Earth & Environment
- Rush, G., McDarby, P., Edwards, R., Milker, Y., Garrett, E. and Gehrels, W.R., 2021. Development of an intertidal foraminifera training set for the North Sea and an assessment of its application for Holocene sea-level reconstructions. Marine Micropaleontology, 169, p.102055
Mode of Study: Full-Time (3yrs)
Duration of funding: 36 months (three years)
Type of Funding Available: Home (UK) Fees and Stipend
Stipend Value: £21,805 (UKRI 2026/2027 rate)
Stipends are tax-free and paid pro-rata in monthly payments
To apply, please visit the application portal which can be found through the Apply Now button. You need to select the project you would like to apply for, and include the application reference number clearly in your application. Please ensure that you include the following documents for a complete application:
- Your research proposal - you are advised to read through the research proposal guidance
- A statement of purpose (maximum 1000 words) that should include:
- What knowledge, skills, and training would you bring to the proposed research? This may include relevant academic study, relevant experience as a professional or practitioner, and any specific training in research skills/methods
- Why do you want to undertake this research at Leeds Beckett University?
- How does the proposed research relate to your career goals?
- Scanned copies of your degree certificates (e.g. undergraduate or masters degree certificates) and transcripts
- Scanned copies of your English language qualification
- A current CV - you should include your employment history or other professional experience, including internships
- One academic reference
Application Deadline: 31 August 2026
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Dr Jenna Sutherland
Senior Lecturer / School of Built Environment, Engineering and Computing -
Dr Graham Rush
Lecturer / School of Built Environment, Engineering and Computing -
Dr Chris Stringer
Lecturer / School of Built Environment, Engineering and Computing