Integrative genomics is an emerging field of genomics that uses interdisciplinary approaches to better understand complex diseases. For example, integrated analysis of high-throughput genomic data with novel computational algorithms correlated with clinical outcomes can identify biological pathways and molecular targets to develop better therapies.
INTEGRATE is a doctorate training programme co-funded by the European Commission’s Marie Sklodowska Curie Actions (MSCA) COFUND programme and the Centre for Research Training (CRT) in Genomics Data Science funded by Science Foundation Ireland (SFI). INTEGRATE is a sub-programme within the CRT in Genomics Data Science providing training in Integrative Genomics Research to equip researchers with biomedical scientific knowledge and genomics data science skills.
The INTEGRATE programme offers 20 prestigious four-year PhD scholarships to eligible early stage researchers (ESRs).
The CRT and INTEGRATE work with a number of partner organisations thus linking together over 100 genomics data science research groups and several sectors to provide world-class training in genomics data science, including:
INTEGRATE provides world-class training with several advantages over the traditional, apprenticeship-type PhD training including:
The INTEGRATE programme trains doctorate students in the interdisciplinary field of integrative genomics to provide our graduates with the knowledge and the ability to identify research questions of most benefit to society and have all the skills to address these typically complex problems.
The training programme is a structured PhD programme starting with a 1st semester residential training programme (RTP) at NUIG. At the end of this residential training programme students choose projects and relocate to the partner university at which their research project will commence.
Over 50 Research Group Leaders, including many of Ireland’s top genomics scientists, are available as PhD supervisors. Students will be able to choose projects from across 4 research themes of the programme:
The INTEGRATE programme offers a total of 20 PhD scholarships. The call for applications for the final 2 places on the programme is now OPEN.
The total salary allowed per student is €32,508 (before Employer taxes and contributions are deducted). The gross salary payable to the student is €25,143 (before Employee taxes and contributions are deducted). A family allowance is available for students with a family.
Additionally, fees of €5,500/year, a high-end laptop computer and accommodation while on the first semester residential training programme are provided. Funding is also available to cover travel expenses (€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.
For details of the application, eligibility and evaluation criteria, please see INTEGRATE guide for applicants 2021-22.
Recruitment for the final 2 INTEGRATE positions is now CLOSED.
Applications received will be reviewed in Jan. The shortlisted applicants will be informed in Feb and interviews will take place from Feb -April. Successful applicants will start on the programme in Sept 2022.
To be eligible, you must meet the eligibility criteria for MSCA early stage researchers and the specific eligibility criteria for the INTEGRATE programme:
The INTEGRATE Programme is a sub-programme of the SFI Centre for Research Training in Genomics Data Science (CRT). If you do not fulfil the MSCA eligibility criteria listed above you have the option to apply to the wider CRT programme at www.genomicsdatascience.ie. Please apply to one programme only. You can indicate if you wish to be considered for a place on the CRT programme by ticking the appropriate box on the INTEGRATE application form (in the event that your INTEGRATE application is unsuccessful).
Informal Queries: May be addressed to the following email address: email@example.com
Eva Szegezdi (Programme Co-ordinator)
Research Lecturer in Cancer Biology
School of Natural Sciences