PhD in Computational Approaches for Mapping Political Polarisation in the Age of AI
King's College London is advertising a PhD opportunity in
computational approaches for mapping political polarisation in the age of AI
. The project sits at the intersection of
political science
,
computational social science
,
computer science
,
statistics
, and related quantitative fields, with a focus on understanding what political polarisation means, how it can be measured, and how AI and social media may shape it.
The project is intentionally broad and is expected to evolve around the interests of the successful student, while staying aligned with computational and data-driven research on polarisation. The post highlights questions such as whether social media is making polarisation worse, how survey-based and computational approaches can be reconciled, and how the AI era changes our understanding of societal risks.
Eligibility:
candidates from any relevant background are welcome, including computational social science, physics, computer science, sociology, political science, network science, data science, AI, and quantitative social science. A postgraduate taught masters, research masters, or integrated masters is required. Programming experience in Python or R is desirable, but not essential. Strong commitment to collaborative interdisciplinary work is essential.
Funding:
full funding is confirmed at the standard UKRI PhD stipend rate for London for Home Students. International applicants may apply, but would need an international fee waiver, which is subject to internal competition and reserved for exceptionally strong candidates.
How to apply:
the post says the ad is linked in the comments. Review that advert carefully and follow the application instructions provided there. If you are interested, prepare to show your relevant quantitative background, programming experience, and fit with interdisciplinary research on political polarisation.
