Teaching Fellow in Applied Social Data Science

Trinity College Dublin, Ireland

Updated: 10 months ago
Location: Dublin Bar, LEINSTER
Job Type: Contract
Deadline: 16 Jun 2023

The Department of Political Science, School of Social Sciences and Philosophy is seeking to appoint a Teaching Fellow in Applied Social Data Science, 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 new postgraduate programme in Applied Social Data Science. In particular this includes providing full-time support for the modules in this programme in terms of lectures and supervision of tutorials. The candidate will also be capable of further developing the quality of our research-led postgraduate teaching. The successful candidate will be able to demonstrate strong experience in teaching and have experience in teaching as a teaching assistant or lead instructor for a variety of modules. The successful candidate will have an active research agenda / publication strategy in quantitative social science that relies on methods such as advanced econometrics, machine learning, and quantitative text analysis. An ability to teach modules in research design and quantitative research methods at both undergraduate and postgraduate level is highly desirable.

The priority teaching expectations for this position are to provide teaching support (tutorials, ‘labs’, grading, etc) for six to eight semester length modules offered as part of a postgraduate diploma on Applied Social Data Science (computer programming, machine learning, research design, advanced statistics, text analysis, forecasting). Depending on the applicant’s skills and Departmental needs, the postholder may be asked to teach modules as main instructor, on data science topics or as part of the Department of Political Science’s other offerings at undergraduate or postgraduate level.

Appointment will be made on a 2 year fixed term contract.

Hours: Hours of work for academic staff are those as prescribed under Public Service Agreements. Further information is available at: http://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf

Application Procedure 

Candidates must submit the following material by email (Ref. 036667) to Raquel Dowie at [email protected]

  • Cover letter (2 pages maximum);

  • 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.

  • 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.

  • 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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