Director of Studies: Professor Kerry Howell; and
Univerisity of 草霉视频 profile
2nd Supervisor:
Dr Angela Stevenson
3rd Supervisor:
4th Supervisor: , University of Aveiro, Portugal
Applications are invited for a 3.5 years PhD studentship. The studentship will start on 1 October 2026
Project description
Scientific background
Vulnerable Marine Ecosystems (VMEs), such as deep-sea coral gardens and sponge fields, are biodiversity hotspots that deliver critical ecosystem services through their complex structures. However, they face increasing threats from fishing, resource extraction, and climate change. Functional diversity -the range of ecological roles species fulfil within a community - is central to ecosystem resilience, but remains poorly understood in VMEs. Quantifying VME functional diversity can help assess vulnerability and guide conservation of VMEs. This project will advance our understanding of VME functional ecology and develop science-based indicators of ecosystem health, directly supporting international policy goals for deep-sea biodiversity protection.
Vulnerable Marine Ecosystems (VMEs), such as deep-sea coral gardens and sponge fields, are biodiversity hotspots that deliver critical ecosystem services through their complex structures. However, they face increasing threats from fishing, resource extraction, and climate change. Functional diversity -the range of ecological roles species fulfil within a community - is central to ecosystem resilience, but remains poorly understood in VMEs. Quantifying VME functional diversity can help assess vulnerability and guide conservation of VMEs. This project will advance our understanding of VME functional ecology and develop science-based indicators of ecosystem health, directly supporting international policy goals for deep-sea biodiversity protection.
Research methodology
This project will combine seafloor visual survey, targeted sampling and AI-assisted image analyses to:
This project will combine seafloor visual survey, targeted sampling and AI-assisted image analyses to:
- Define and quantify functional traits of VME taxa.
- Identify key functional groups, map functional diversity, and compare to taxonomic diversity.
- Develop indicators of ecosystem health and resilience across different VME types.
- Build predictive spatial models for VME distribution and resilience under future climate scenarios.
Training
The candidate will gain skills in:
- Deep-sea survey techniques using remotely operated and autonomous underwater vehicles
- Image annotation, including AI-based approaches.
- Functional trait analysis, taxonomic identification of deep-sea benthos, biodiversity metrics; and spatial predictive modelling.
Professional development will include research cruises, collaboration with international scientific presentations, and co-authorship of additional non-PhD publications. This training will prepare the candidate for careers in academia, environmental consultancy, conservation, and resource management.
Person specification
We seek a motivated candidate with strong analytical skills, and interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training will be provided. A willingness to join multi-week ship-based fieldwork is welcomed but not required.
References
Susini, I., Tillin, H.M., Anderson, L., Robertson, C.M., Rees, S. and Howell, K.L., 2025. Towards Greater Standardisation in Benthic Trait Research to Support Application to Environmental Management. Ecology and Evolution, 15(3), p.e71072. https://doi.org/10.1002/ece3.71072
Piechaud, N. and Howell, K.L., 2022. Fast and accurate mapping of fine scale abundance of a VME in the deep sea with computer vision. Ecological Informatics, 71, p.101786. https://doi.org/10.1016/j.ecoinf.2022.101786
Howell, K.L., Bridges, A.E., Graves, K.P., Allcock, L., la Bianca, G., Ventura-Costa, C., Donaldson, S., Downie, A.L., Furey, T., McGrath, F. and Ross, R., 2022. Performance of deep-sea habitat suitability models assessed using independent data, and implications for use in area-based management. Marine Ecology Progress Series, 695, pp.33-51. https://doi.org/10.3354/meps14098
Buhl-Mortensen, P., Braga-Henriques, A. and Stevenson, A., 2022. Polyp loss and mass occurrence of sea urchins on bamboo corals in the deep sea. Ecology, 103(2), pp.1-5. https://doi.org/10.1002/ecy.3564
Stevenson, A., Mitchell, F.J. and Davies, J.S., 2015. Predation has no competition: factors influencing space and resource use by echinoids in deep鈥恠ea coral habitats, as evidenced by continuous video transects. Marine Ecology, 36(4), pp.1454-1467. https://doi.org/10.1111/maec.12245
Eligibility
Applicants should have a first or upper second class honours degree in a Biological or Environmental Science or a relevant Masters qualification. You should have strong analytical skills, and interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential.
If your first language is not English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent.
Successful candidates who meet UKRI鈥檚 eligibility criteria will be awarded a fully-funded ARIES studentship of fees, maintenance stipend, 拢20,780 p.a. for 2025/26 (2026/27 rate TBC) and research costs.
A limited number of ARIES studentships are available to International applicants. Please note however that ARIES funding does not cover additional costs associated with relocation to, and living in, the UK.
NB: The studentship is supported for 3.5 years of the four-year registration period. The subsequent 6 months of registration is a self-funded 鈥榳riting-up鈥 period.
ARIES is committed to in all areas of its operation. We encourage applications from all sections of the community regardless of gender, ethnicity, disability, age, sexual orientation, and transgender status. Projects have been developed with consideration of a safe, inclusive, and appropriate research and fieldwork environment. Academic qualifications are considered alongside non-academic experience, with equal weighting given to experience and potential.
For further information, please visit
If you wish to discuss this project further informally, please contact
Professor Kerry Howell
(kho@pml.ac.uk).
Please see our
apply for a postgraduate research programme
page for a list of supporting documents to upload with your application.
For more information on the admissions process generally, please visit our
apply for a postgraduate research programme
page or contact the
Doctoral College
.
The closing date for applications is 7 January 2026.
Shortlisted candidates will be invited for interview 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.