Elsewhere on Ulster
This project is funded by:
The freshwater pearl mussel (Margaritifera margaritifera) is one of Europe’s most threatened freshwater species and an important indicator of clean, healthy river ecosystems. Because adult mussels can survive for decades after successful reproduction has ceased, conventional surveys may detect population decline too late for effective intervention.
This PhD will be embedded within PEARL-MAP, a DAFM/DAERA-funded research and innovation partnership involving Ulster University and Atlantic Technological University, Patchview DC and the Ballinderry Rivers Trust, spanning Northern Ireland and the Republic of Ireland. The student will contribute across the wider project while taking a leading role in its multi-omics research.
The project will integrate genomic, DNA-methylation, RNA-expression and protein-abundance data from freshwater pearl mussels with eDNA surveillance, water-quality, sediment, land-use and ecological information.
The student will develop an epigenetic model of mussel age, distinguish normal ageing from environmentally induced stress, identify molecular pathways associated with nutrient and sediment pressures, and develop a reduced panel of candidate biomarkers.
These markers will be validated using appropriate targeted assays and evaluated alongside restoration activities in PEARL-MAP living-laboratory river reaches.
The studentship offers interdisciplinary training in conservation genomics, epigenomics, transcriptomics, proteomics, eDNA, bioinformatics, R/Python, advanced statistics, machine learning and reproducible research.
The student will also gain experience in cross-border collaboration, stakeholder engagement and translating scientific findings for environmental management and policy.
The project would suit a motivated graduate in biomedical science, bioinformatics, biological or environmental science, or a related discipline. Previous coding or high-throughput sequencing experience is desirable but not essential.
The supervisory team comprises Dr Rachelle Irwin and Professor Diane Lees-Murdock (School of Biomedical Sciences), and Dr Joerg Arnscheidt (School of Geography and Environmental Sciences).
Please note: Research Proposal - 5 pages in total
The proposal must include:
Please also note that the use of AI in generating the research proposal is prohibited.
Important Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical Sciences/Pharmacy and Pharmaceutical Sciences, your first application on the system will be deemed your first-choice preference and further applications will be ordered based on the sequential time of submission.
If you are successfully shortlisted, you will be interviewed only on your first-choice application and ranked accordingly. Those ranked highest will be offered a PhD studentship.
In the situation where you are ranked highly and your first-choice project is already allocated to someone who was ranked higher than you, you may be offered your 2nd or 3rd choice project depending on the availability of this project.
Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.
We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.
In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities.
Appointment will be made on merit.
This project is funded by:
PhD scholarships are available for this project to all applicants worldwide, regardless of residency or domicile, and will cover:
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year, or part-time equivalent, funded from any source, including self-financing students, are NOT eligible to apply for an award.
Students in full-time employment are not eligible for an award.
Part-time PhD scholarships may be available at a 0.5 pro rata rate of the full-time scholarship, which would require a six-year registration period.
Due consideration should be given to financing your studies.
The University will award a successful candidate one of the following scholarships for the project, depending on the funding available at the time an admissions offer is made:
Please note that the Terms and Conditions for scholarships are subject to change for 2027/28.
Argelaguet, R. et al. (2018) ‘Multi-Omics Factor Analysis - a framework for unsupervised integration of multi-omics data sets’, 'Molecular Systems Biology', 14(6), e8124.
Fairfield, E.A. et al. (2021) ‘Ageing European lobsters (Homarus gammarus) using DNA methylation of evolutionarily conserved ribosomal DNA’, Evolutionary Applications.
Geist, J. (2010) ‘Strategies for the conservation of endangered freshwater pearl mussels (Margaritifera margaritifera): a synthesis of conservation genetics and ecology’, Hydrobiologia, 644, pp. 69–88.
Gomes-dos-Santos, A. et al. (2023) ‘The Crown Pearl V2: an improved genome assembly of the European freshwater pearl mussel 'Margaritifera margaritifera’, Gigabyte, article 81.
Stoeckle, B.C., Kuehn, R. and Geist, J. (2016) ‘Environmental DNA as a monitoring tool for the endangered freshwater pearl mussel ('Margaritifera margaritifera'): a substitute for classical monitoring approaches?’, Aquatic Conservation: Marine and Freshwater Ecosystems, 26, pp. 1120–1129.
Submission deadline
Friday 8 January 2027
04:00PM
Interview Date
8th-16th February 2027
Preferred student start date
13th September 2027
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