Application Portal

Closing on: Mar 2, 2020

Applications from international students and from under-represented groups are strongly encouraged, reflecting a commitment to ensuring diversity among the student cohort and the supervisory body

In order for your application to be assessed for entry, please upload the following documentation.

Application deadline is March 2nd, 2020

  • Resumé (include your name, education institution, qualification stating overall grade/percentage, predicted grades are acceptable for those still studying). Please ensure provide context for your home institutions marking scheme e.g. 3.8/4.0 or 8.5/10.00
  • Statement of purpose: Describe your research, scientific interests and achievements, your goals for the future and give as much context and information as possible in under 2 pages
  • Copy of transcripts and masters and/or degree award (first-class honours)
  • International applicants, please attach your English language proficiency certificate/proof your study was conducted through the medium of English
  • Rank your preferred location(s) of study (University of Limerick, Maynooth University or University College Dublin)
  • Rank the horizontal themes of Applied Mathematics, Statistics, and Machine Learning in order of preferred initial focus
  • Rank the vertical themes of Data Analytics, Privacy & Security, Smart Manufacturing, Networks, and Health & Wellbeing, in order of preferred initial focus

Application timeline

January

Prepare your application - think about what achievements make you stand out as a top class CRT applicant?

March

Application deadline 2nd of March - last chance to apply to a world-class unique PhD programme

April

Applications are carefully screened & shortlisted by CRT management

May

Check your inbox.. it's offer time!

September

The start of your 4 year PhD journey with our Centre

Apply for this position

  1. University of Limerick
  2. Maynooth University
  3. University College Dublin
    1. Applied Mathematics
    2. Statistics
    3. Machine Learning
      1. Data Analytics
      2. Privacy & Security
      3. Smart Manufacturing
      4. Networks
      5. Health & Wellbeing

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