MSc in Statistics

MSc in Statistics


The Irish government’s current policy requires all people arriving to Ireland from non-green list countries to restrict their movements for 14 days. The ISWAB-COVID study was set-up to explore the impact of these restrictions on UCC students and the acceptability and feasibility of serial testing for SARS CoV2. The MSc student will analyse results from the ISWAB-COVID study and study the transmission dynamics of coronavirus disease based on mathematical modelling and simulation study. The student will develop a follow-up study looking at the knowledge, attitudes, and behaviors of undergraduate studies. Fees will be covered by the grant and the closing date for applications is February 28th.


Main Objectives

  1. Explore the impact of the post-arrival period of restricted movement and serial testing procedures on the health and well-being of students. 
  2. Assess the acceptability and feasibility of self-administered tests (saliva swab and finger prick Point of Care testing) for SARS CoV2 in students during their period of restricted movement.
  3. Develop a statistical model based on observed distributions of test results to inform frequency and timing of testing for students in future arrival cohorts.


You will be working under the supervision of Kathleen O’Sullivan and Tony Fitzgerald PI on ISWAB-COVID. 



  • Minimum 2H1 (second class honours, grade 1) honours degree (or equivalent) in Statistics or a related quantitative discipline (or anticipated minimum 2H1 class honours or equivalent if the student has not completed their degree programme at the time of application).
  • Proven technical competence and accomplishment in statistical methodologies.
  • Good programming skills in a statistical software program, not limited to R or SAS.
  • Demonstrable capability of working within a project team and ability to innovate.
  • Good communication, organisation, and interpersonal skills.
  • Excellent academic English writing skills.


Duration: 12 months

 For informal enquiries on the post candidates should contact:

Name: Tony Fitzgerald



Name: Kathleen O’Sullivan


 To Apply:

Please send:

  1. Short cover letter describing your motivation for applying for the position and how your experience and expertise match the research topic.
  2. CV


To Dr. Tony Fitzgerald on or before the closing date for applications of February 28th, 2021.

Please quote ‘ISWAB' on the subject line of your email.



PhD in Statistics

Applications invited for a PhD position in the School of Mathematical Sciences, UCC. Statistics is one of three disciplines within the School of Mathematical Sciences. The School has a broad range of teaching responsibilities at undergraduate and postgraduate levels and offers research MSc and PhD degrees.

The project will focus on predictive models for time-to-event data with application in cancer research. Treatment decisions represent a significant challenge for patients diagnosed with cancer, usually having a large impact on their outcome and quality of life. Prediction models will be built with the aim to estimate long-term patient outcome and support clinical decision-making processes. The project will exploit, combine, and improve on machine learning tools for prediction in survival analysis with application in prostate cancer.

Principal Investigators: Dr. Shirin Moghaddam, Dr. Eric Wolsztynski

The successful applicant will receive an annual stipend of €15,310 and EU fees will be covered for up to three years. Non-EU candidates may apply but they may have to cover extra fees themselves.

Key Duties and Responsibilities

  • To conduct a specified programme of research under the supervision and direction of the Principal
  • To engage in appropriate training and professional development opportunities as required by the Principal Investigator / School in order to develop research skills and competencies.
  • To engage in the dissemination of the results of the research (oral and written) in which you are engaged, as directed by, with the support of and under the supervision of the Principal Investigator.
  • To contribute and produce high-quality peer-reviewed publications.
  • To present research outcomes at project meetings and at relevant conferences.
  • To engage in the wider research and scholarly activities of the research group, School or College.
  • To carry out teaching/administrative assistantship work related to the Postgraduate Diploma in Pharmaceutical Regulatory Sciences.





  • Applicants should have or expect to attain an upper second class or first class honours degree and/or an MSc degree in Statistics or a cognate discipline.
  • Experience in R, regression, and survival analysis and preferably in machine learning, and classification techniques.
  • Have excellent analytical, (statistical) programming, organizational, communication (oral and written) skills.
  • An ability to work independently to a tight schedule.
  • Have the ability to work effectively as part of a team to achieve results.
  • Teaching experience to undergraduate level.
  • Fluency in English and excellent communication skills.


To Apply:

Interested candidates should apply by email to Dr. Shirin Moghaddam (, School of Mathematical Sciences, Western Gateway Building, University College, Cork, Ireland, and quoting “PhD in Statistics” in the subject line.

Applications must include, in PDF format only:


  1. Full CV including two referees;
  2. A transcript of results for all university-level modules and courses;
  3. One-page abstract describing final year undergraduate project (if applicable);
  4. One-page abstract describing MSc project (if applicable);
  5. Short cover letter describing your motivation for applying for the position and how your experience and expertise match the research topic.
  6. If the successful applicant’s first language is not English, they will have to provide evidence of English language proficiency (IELTS or equivalent scores where required) to complete their initial application.

Applications will be accepted until 26th February 2021.


School of Mathematical Sciences

Eolaíochtaí Matamaiticiúla

Room 1-57, First Floor floor, T12 XF62