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PhD Vacancy - AI-driven metrology for sequence-to-function links with accuracy of one DNA base pair, Teddington
Client:
NPL
Location:
Teddington, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
d98cd0d61a1e
Job Views:
3
Posted:
05.05.2025
Expiry Date:
19.06.2025
Job Description:
An EPSRC industrial doctoral landscape award between the University of Oxford and the National Physical Laboratory (NPL) is available from Oct 2025.
The persistent lack of protein sequence-to-function links remains one of the most intractable problems in biology. This PhD project will focus on establishing metrology foundations for AI-driven protein design through experimentation run at scale and high throughput.
The studentship is an important part of research programmes at the University of Oxford, the NPL and the Rosalind Franklin Institute (RFI). The successful applicant will be exposed to additional collaborations with IBM, Hartree National Centre for Digital Innovation, and Wellcome Sanger Institute.
The student will be involved in building an experimental capability to support predictive AI models describing relationships between DNA, protein sequences, and function. They will utilize state-of-the-art correlated imaging techniques, including electron microscopy from cryogenic to in situ, and molecular biophysics.
The studentship links to priority developments in NPL’s newly launched synthesis bio-foundry and RFI’s theme of correlated imaging. The technical role of NPL will complement those of RFI and Oxford in developing correlated datasets for data-driven protein design, providing metrology for biophysical assessment of function. The student will receive metrology training and access to NPL capabilities throughout their studies, spending time at Oxford, NPL, and RFI. They will also collaborate with scientists developing advanced imaging instruments using optical, X-ray photons, and electrons.
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