National University of Ireland (NUI) invites applications for an Early Stage Researcher (PhD student) in bioinformatics/immunoinformatics (Quantitative T cell Immunology and Immunotherapy (QuanTII)). The position is available at School of Mathematics, Statistics and Applied Mathematics. This position is funded under the Marie Skłodowska-Curie Innovative Training Networks (ITN).

About the position:
  • The selected candidate will register as a PhD student in bioinformatics at National University of Ireland Galway, under the primary supervision of Prof. Cathal Seoighe
  • The selected candidate will undertake research as part of the QuanTII network (specifically the development of methods and computational tools relating to the anlaysis of T cell repertoire diversity) and will participate in training activities of the network.
  • The research project will involve collaboration with members of the network, including participating in research visits to other member institutions.


  • Applicant must be Undergraduate or hold MSc degree in a relevant discipline, such as Bioinformatics, Computer Science, Mathematics, Statistics or the Molecular Life Sciences.
  • Applicant must hold excellent academic track record; communication, organization and interpersonal skills and a passion for scientific discovery.
  • Applicant must not have resided or carried out their main activity in Ireland for more than 12 months in the last 3 years immediately prior to the date of selection (to ensure the European character of an ITN project)
  • Applicant must be capable of writing computer code; experience of statistical data analysis.

Starting date: 1st of January 2019

How to Apply:

  • Applications to be sent via email (in Word or PDF only) to Cathal Seoighe at including:
  • Covering letter
  • CV
  • Contact details of two referees
  • Mention reference number NIUG 124-18 in subject line of e-mail application.
—————–Quick Overview————-
Organization National University of Ireland (NUI)
Country Ireland
Fellowship Level Doctoral
Subject areas Bioinformatics, Computer Science, Mathematics, Statistics, Molecular Life Sciences
Fellowship amount Varies
Eligibility Open to all nationalities
Deadline 26 October 2018

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