Teaching Fellow International Relations

Updated: 11 months ago
Location: Dublin Bar, LEINSTER
Job Type: Contract
Deadline: 25 May 2023

The Department of Political Science, School of Social Sciences and Philosophy is seeking to appoint a Teaching Fellow in International Relations, to commence on 1st August 2023.

The Department of Political Science wishes to make a Teaching Fellow appointment with a special focus on contributing to the development of our undergraduate and postgraduate teaching in international relations and international conflict. In particular this includes supervision of advanced research projects to be completed by an increasing number of undergraduate students in Political Science, as well as further developing the quality of our research-led undergraduate and postgraduate teaching.

The successful candidate will be able to demonstrate strong experience in teaching and have experience in teaching as teaching assistant or lead instructor for a variety of modules. The successful candidate should be able to teach and supervise undergraduate and masters-level dissertation topics in international relations, as well as to contribute flexibly across the range of the Department’s teaching needs. The successful candidate will have an active research agenda in international relations as well as an approach to research that complements the Department of Political Science’s existing strengths in comparative and institutional analysis. An ability to teach modules in research design at both undergraduate and postgraduate/MSc level is highly desirable.

The normal teaching load for a Teaching Fellow in the department would be six semester-length modules per year. Teaching Fellows are also expected to do a certain amount of postgraduate research supervision and to contribute to the administration of the programme and/or the department more generally.

Appointment will be made on a specific purpose contract. 

Post status:  Specific purpose Contract

Application Procedure

Candidates must submit the following material by email to [email protected]

1. Cover letter (2 pages maximum);

2. Full curriculum vitae to include the names and contact details of 3 referees; and for applicants who have completed a PhD, please state the exact date of the PhD award as shown on the degree certificate.

3. Teaching statement (summarizing teaching experience and approach – 2 pages maximum). The teaching statement should explicitly address readiness to teach the following data science modules:

  • Advanced Statistics (taught using R, two module sequence)
  • •Research Design
  • Computer Programming (taught using Python and some R)
  • Machine Learning
  • Quantitative Text Analysis
  • Forecasting

As well as specifying any other modules in data science or political science the applicant may wish to offer as main instructor.

4. Materials in support of demonstrating teaching experience and excellence, such as student evaluations of modules taught, teaching awards, etc, where available;

Please Note: Candidates who do not submit all of this information may not be considered for shortlisting

At Trinity, we are committed to equality, diversity, and inclusion. Trinity welcomes applications from all individuals, including those applicants with disabilities, those who may have had non-traditional career paths, those who have taken time out for reasons including family or caring responsibilities. We also welcome international applicants including those whom have been displaced due to war.

We are ranked 3rd in the world for gender equality (Times Higher Education Impact Rankings 2020) and we hold an Athena SWAN Bronze award, recognising our work to advance gender equality. The University is actively pursuing a Silver level award, which it has committed to achieving by 2025. Trinity is committed to supporting the work-life balance and to creating a family-friendly working environment.



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