The SFI Centre for Research Training
in Genomics Data Science

Who We Are

We are a PhD training programme, linking together approximately 90 genomics data science group leaders based at five Irish institutions.

Expertise within the group spans from statistical modeling and machine learning to the full range of application of genomics. Over the coming four years our research teams will be joined by 100 fully funded PhD students, recruited through this Centre.


We are training a generation of highly skilled PhD graduates to harness the collective potential of genomics and data science. Through this unique and intensive PhD programme we want to graduate individuals who will have rich and varied career opportunities and, through them, to have transformative economic and societal impacts in Ireland and further afield.

Training Programme

During the first three months all students will be accommodated on the NUI Galway campus. They will undertake an intensive series of short workshops, presented by leading experts in their fields. At the end of this residential training programme students choose projects and relocate to the partner university at which their research project will commence.


Research Themes

Over 90 Group Leaders including many of Ireland’s top genomics scientists, are associated with the programme and available as PhD supervisors. Students will choose projects from across the seven research themes of the programme.

  • Methods, frameworks and infrastructure development for genomics (Theme Lead: Pilib Ó Broin, NUI Galway)
  • Genomics of common and rare diseases (Theme Lead: Derek Morris, NUI Galway)
  • Cancer genomics and precision medicine (Theme Lead: Adrian Bracken, TCD)
  • Agrigenomics, smart food and nutrigenomics (Theme Lead: David MacHugh, UCD)
  • Genomics for pathogen surveillance and control (Theme Lead : Stephen Gordon, UCD)
  • Biotechnological genomics, including metagenomics (Theme Leads: Orla O'Sullivan, Teagasc, & Chris Creevey, QUB)
  • High-resolution population genomics (Russell McLaughlin, TCD)
The research project forms the primary basis for PhD training. However, this programme has the advantage that students will belong to a large cohort, all facing similar challenges arising from the analysis of genomics data across a broad range of domains. The emphasis on ongoing skills development and collective problem solving throughout the training programme will enable an enriching and rewarding PhD experience.


The programme team have a wealth of experience in training PhD students from very different backgrounds in genomics data science, and in the design and execution of highly interdisciplinary projects. Annual project reviews and student advisory panels will help the students to complete their work to the highest standard and within the four year timeframe. We also provide supports for future career planning beyond the PhD.

Students receive an annual stipend (tax free) of €18,500, and their accommodation is arranged and paid for in the first three months.  Funding available per student will cover a high-end laptop computer as well as travel (€7,500), participation in workshops (€1,500), a placement (€4,500) and publication costs (€6,300) allowing your research findings to be published in open access journals, thus increasing their impact.


Recruitment has now closed.

Applications received will be reviewed in February and applicants will either be (1) shortlisted and invited for interview (2) put on a reserve list or (3) considered unsuccessful. Please be aware that we have received more than 200 high quality applications and it will take some time for the review panels to do their work.




Educational Background and Skills: Applicants will need to have an educational background suited to a genomics data science project, with the equivalent of a BSc or MSc in molecular biological sciences, or in a strongly numerate or computational field (computer science, engineering, physics, statistics, mathematics). Students should have a strong aptitude for programming and data analysis.

Language Skills: Applicants will need to demonstrate competence in written and spoken English.

Nationality and Residency: While it is envisaged that the majority of students will be recruited from the EU, we will also consider applications from non-EU and developing countries.

See here for Additional Info on Genomics CRT

Informal Queries: May be addressed to the following email address:

Cathal Seoighe (Centre Director)
Professor of Bioinformatics

Room ADB-1003
Áras De Brún
School of Mathematics
Statistics and Applied Mathematics