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Leveraging sequencing technologies to advance identification of bacterial pathogens

Funding
Funded
Study mode
Full-time
Duration
4 Years
Apply by
Year round
Start date
Year round
Subject area
Biological and Biomedical Sciences

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Overview

This four-year PhD project aims to advance sequencing-based bioinformatics methods for identification and characterisation of bacterial pathogens in diverse clinical and surveillance samples. Methodological and knowledge breakthroughs from this study will improve the diagnosis, monitoring, prevention, and control of bacterial infectious diseases, addressing the pressing threat of antimicrobial resistance.

About this opportunity

Identification of bacterial pathogens is essential for diagnosis, outbreak investigation, infection prevention and control, and surveillance. High-throughput sequencing has become a powerful tool in bacterial genomics, facilitating high-resolution tracking of pathogen transmission and patterns of antimicrobial resistance (AMR). While short-read sequencing (such as Illumina sequencing) has been widely used in diagnostic laboratories, since the last decade long-read sequencing technologies (such as PacBio’s Single Molecule Real-time Sequencing and Oxford Nanopore Technologies’s nanopore sequencing) have revolutionised bacterial genomics by improving genome assembly, variant detection, and reconstruction of complex genomic features. Integrating both short-read and long-read sequencing approaches can improve the accuracy of pathogen identification, enabling high-resolution characterisation of pathogens. This four-year PhD project focuses on advancing bioinformatics methods for identification and characterisation of bacterial pathogens in high-throughput sequencing data.

Aims

  1. Develop bioinformatics methods for pathogen identification and characterisation.
  2. Advance understandings of pathogen and AMR dissemination.

Project structure

  • Year 1: Conduct a pilot study to generate sequencing data from available isolates and explore current methods for understanding the spread of bacterial pathogens and AMR.
  • Years 2 and 3: Develop bioinformatics methods and experimental protocols to improve pathogen identification and characterisation.
  • Years 3 and 4: Apply the new methods to investigate the epidemiology of pathogens and AMR.
  • Year 4: Write-up.

Training

Mandatory training

  • Graduate School First Year Skills Workshop
  • Graduate School Career Skills Workshop
  • Departmentally provided subject specific skills training
  • Poster presentation on an annual University Postgraduate Poster Day

Scientific skills

  • Experiments for microbiology and DNA sequencing
  • Advanced bioinformatics and programming
  • Collation and sharing of sequence data
  • Statistics and infectious disease epidemiology

Transferable skills

  • Communications
  • Critical thinking
  • Multidisciplinary collaboration within a diverse research environment
  • Time management
  • Career development

Further reading

  1. Jauneikaite, K. S. Baker, J. G. Nunn, et al., Genomics for antimicrobial resistance surveillance to support infection prevention and control in health-care facilities. The Lancet Microbe (2023). https://doi.org/10.1016/S2666-5247(23)00282-3.
  2. R. Wick, L. M. Judd, K. E. Holt, Assembling the perfect bacterial genome using Oxford Nanopore and Illumina sequencing. PLOS Computational Biology 19, e1010905 (2023). https://doi.org/10.1371/journal.pcbi.1010905.
  3. D. M. Aanensen, C. C. Carlos, P. Donado-Godoy, et al., Implementing Whole-Genome Sequencing for Ongoing Surveillance of Antimicrobial Resistance: Exemplifying Insights Into Klebsiella pneumoniae. Clinical Infectious Diseases 73, S255–S257 (2021). https://doi.org/10.1093/cid/ciab795.
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Who is this for?

  • A UK First Degree with either a First Class or Upper Second-Class degree classification, or a Second-Class degree plus a master’s degree in relevant subjects, such as bioinformatics, computer science, microbiology, and medical sciences
  • Bioinformatics skills for analysis of sequencing data and comparative genomics
  • Programming skills
  • Willingness to conduct microbiological experiments, field work, and academic visits
  • Genuine interests in bioinformatics and microbiology as a career choice
  • Ability to prioritise own work in response to deadlines
  • Willingness to work as part of a team with a dynamic schedule
  • Willingness to assist in the supervision of undergraduate and postgraduate students and research assistants as required according to the university’s policy
  • Always discipline and regard for confidentiality and security
  • Willingness to undertake any necessary training for the role

Desirable attributes:

  • A master’s degree in bioinformatics or equivalent experience
  • Research experience in bacterial genomics or metagenomics
  • Adequate knowledge of medical microbiology
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How to apply

  1. 1. Contact supervisors

    Supervisors:

    Dr Yu Wan yu.wan@liverpool.ac.uk
    Prof Nicola Williams njwillms@liverpool.ac.uk
    Prof Steve Paterson stevep11@liverpool.ac.uk

    Please email the following information to supervisor Dr Yu Wan (yu.wan@liverpool.ac.uk), with a citation of this project’s title and reference number:

    • Cover letter, enclosing a motivation statement, research interests, expertise, relevant experience, probable start date, a study plan, and contact details of two referees
    • Curriculum vitae
    • University transcripts relevant to this PhD project

    A list of your accessible publications (preferably, peer-reviewed first/last-author journal articles, and we accept other types of publications, such as blogs, forum posts, software documentation, etc) or a 1000-word sample of scientific writing

  2. 2. Prepare your application documents

    • A research proposal (this should cover the research you’d like to undertake)
    • University transcripts and degree certificates to date
    • Passport details
    • English language certificates (international applicants only)
    • A personal statement
    • A curriculum vitae (CV)
    • Names and contact details of two referees.
  3. 3. Apply

    Finally, register and apply online. You'll receive an email acknowledgment once you've submitted your application. We'll be in touch with further details about what happens next.

    Candidates should register and apply through the University of Liverpool Application Portal. You’ll receive an email acknowledgment once you have submitted your application. We will be in touch by email with further details about what happens next. This application may close once a suitable candidate is found.

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Fees and funding

Your tuition fees, funding your studies, and other costs to consider.

Tuition fees

UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland)

Full-time place, per year - £5,006

International fees

Full-time place, per year - £31,250

Fees are for 2025/26 academic year


Additional costs

We understand that budgeting for your time at university is important, and we want to make sure you understand any costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.

Find out more about the additional study costs that may apply to this project, as well as general student living costs.

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Contact us

Have a question about this research opportunity or studying a PhD with us? Please get in touch with us, using the contact details below, and we’ll be happy to assist you.

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