PhD Studentship: Decoding and Designing DNA Replication Origins
Explore how genome language models and synthetic biology decode and design DNA replication origins.
Best for:Best for candidates with a strong background in computational biology, genomics, or machine learning interested in synthetic biology.
Overview
This interdisciplinary PhD project investigates how DNA replication origins are encoded and regulated within genomes using a combination of computational biology and synthetic biology. Hosted at the Earlham Institute and supported by the Norwich Research Park Biosciences Doctoral Training Partnership, the research involves developing predictive genome language models and testing synthetic DNA sequences in yeast. The successful candidate will work in a collaborative environment across multiple scientific groups to advance the rational design of synthetic chromosomes. Applicants are expected to engage in comprehensive professional training, execute high-throughput experimental and computational workflows, and participate in academic dissemination.
What you'll do
- Develop and apply genome language models to predict and understand replication origin function.
- Design and synthesize hundreds of novel DNA sequences using computational tools.
- Test synthetic sequences in yeast using advanced molecular biology and nanopore sequencing technologies.
- Collaborate across multiple research groups integrating machine learning and high-throughput experimental workflows.
- Complete a three-month professional internship placement during the course of the doctoral study.
- Prepare research findings for publication in peer-reviewed journals and presentation at international conferences.
Requirements
Degree required: Bachelors (Honours) 2:1 or UK equivalence
Degree offered: PhD
Language: English; IELTS 6.5 overall, 6 in each category
Instruction: English
- Strong foundation in computational biology, genomics, or a related discipline
- Programming and data analysis capabilities suitable for machine learning or genome data
- Familiarity with molecular biology laboratory techniques or willingness to learn wet-lab workflows
- Analytical mindset and problem-solving skills applied to biological datasets
- Open to applicants meeting the academic entry requirements of at least a UK equivalence Bachelors (Honours) 2:1 degree
Funding & terms
How to apply
Deadline: 2026-11-30
Candidates must submit their applications through the university's online postgraduate application portal. Applicants must use the bespoke templates provided on the NRPDTP website for their Personal and Research statements to ensure accessibility and proper evaluation. Shortlisted candidates will be invited for interviews scheduled in February 2027.
- CV
- Personal statement
- Research statement
- Academic transcripts
- Reference letters
Contact
Conrad Nieduszynski· Project Supervisor
https://www.earlham.ac.uk/scientific-group/nieduszynski-group
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