PhD Studentship
Research Group / Department / School: Discipline of Statistics and Information Systems, School of Computer Science and Statistics, Trinity College Dublin, the University of Dublin
Location: Lloyd Institute, Trinity College Dublin, the University of Dublin College Green, Dublin 2, Ireland
Reports to: Dr. Cornelius Fritz (Assistant Professor of Statistics)
Terms & Conditions: This is a full-time 4-year structured PhD project, based in the Discipline of Statistics and Information Systems at Trinity College Dublin. The funding for the project includes a tax-free stipend of €25,000 per annum. EU fees are provided for in the funding
Hours of Work: 37.5 Hours Per Week (full-time)
Post Summary
Surrounded by smart devices that collect interpersonal data, we must explore novel ways of measuring and understanding social behaviour through digital trace data, such as email traffic, follower networks on a social platform, or spatial co-location networks. The gathered data offers a planetary-scale view of online interpersonal relations, enabling a more nuanced investigation of biases in information diffusion, polarization, and echo chamber effects. To harness this information, novel models that handle large network sizes 2 and additional information – such as fine-grained temporal information for email traffic or additional neighbourhood structures – are essential. A key challenge in modelling large networks is ensuring local dependence in the assumed model, reflecting the natural perception that individuals primarily interact within their local neighbourhoods rather than the entire network. To address this, the PhD candidate will develop network models for such trace data with a strong focus on real-world applications. These applications can be developed in collaboration with substantive scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models. These methods will be implemented in efficient, scalable software packages, ensuring their applicability to real world social and computational challenges.
Standard Duties and Responsibilities of the Post
The duties include working on the mentioned project by getting acquainted with new methods and programming skills, implementing the methods, going through the structured PhD. program, and finally, obtaining the skill to independently carry out a PhD. project.
Person Specification
Qualifications
Applicants should have (or expect to attain prior to project start) at least a 2.1 honours degree or equivalent in the areas of mathematics, applied mathematics ,or statistics. Applicants must demonstrate proficiency in statistical modelling and have some experience with statistical computing through R, Python or C++. Applicants for whom English is a second language will be required to demonstrate their competence in the English language in line with Trinity College Dublin requirements as appropriate.