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This project is funded by:
Transform how we determine biomolecular structures. This PhD develops generative AI tools that use minimal NMR data to rapidly predict 3D G-quadruplex DNA/RNA structures – a major leap beyond traditional, time-consuming methods.
Work at the intersection of generative AI, molecular dynamics simulations, and high-field NMR, using Ulster’s state-of-the-art facilities and Northern Ireland’s High-Performance Computing (NI-HPC) resources.
You will gain skills in:
* Generative AI for structure prediction
* Molecular dynamics simulations
* High-field NMR spectroscopy
Ideal for students excited by computational biophysics and structural biology, with strong career prospects in academia, biotech, and AI-driven drug discovery and diagnostics.
Important Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical 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:
This scholarship will cover tuition fees and provide a maintenance allowance of £21,000* (tbc) per annum for three years (subject to satisfactory academic performance). A Research Training Support Grant (RTSG) of approximately £900 per annum is also available.
To be eligible for these scholarships, applicants must meet the following criteria:
Applicants should also meet the residency criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme.
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) are NOT eligible to apply for an award.
Due consideration should be given to financing your studies.
*Part time PhD scholarships may be available, based on 0.5 of the full time rate, and will require a six year registration period
Webba da Silva, M. "NMR methods for studying quadruplex nucleic acids." Methods 2007, 43(4), 264-277. [The foundational methodological review for G-quadruplex NMR].
Sannapureddi et al. "Characterization of DNA G-quadruplex Topologies with NMR Chemical Shifts." J. Phys. Chem. Lett. 2020, 11, 10016–10022. [Directly demonstrates the power of chemical shifts for topology assignment].
Dvorkin, S. A. et al. "Encoding canonical DNA quadruplex structure." Sci. Adv. 2018, 4(8), eaat3007. [High-impact work from our team on topology and folding principles].
Submission deadline
Friday 27 February 2026
04:00PM
Interview Date
23rd March – 3rd April
Preferred student start date
14th September 2026
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