The Cathie Marsh Institute for Social Research (CMI) is pleased to announce a limited number of CMI Conference Stipends to support PhD students and early career researchers at the University of Manchester to participate in the Political Networks Conference 2026.
The stipends are intended to reduce financial barriers for our local postgraduate research (PGR) and early career researcher (ECR) community and can be used to cover conference registration and optional training workshops. Successful applicants will be able to choose how many workshops to attend, with stipends reimbursing eligible registration and workshop fees.
PhD researchers and early-career researchers (on a fixed-term contract) at the University of Manchester.
Applicants must be eligible for the discounted conference/workshop rates.
Conference registration.
Optional half-day training workshops (number chosen by the applicant).
Please email:
A short statement (maximum 200 words) explaining how attending the conference and workshops would benefit your research and professional development.
Proof of eligibility for the discounted rate, for example PhD student status confirmation or work contract.
Send applications to soss-research-operations@manchester.ac.uk with the subject line: "CMI conference stipend".
Applications must be received by 10 June 2026. Between 10 and 20 stipends are available. Decision emails will be sent out by 17 June 2026. Conference and workshop registration closes on 6 July 2026. Reimbursement will be made on submission of a receipt via the University claims process. Receipts must be submitted by 6 July 2026 and will be processed by 31 July 2026.
We encourage eligible PhD students and early career researchers across the University to apply.
The CMI stands as a centre of excellence in quantitative social science. Our primary mission is to furnish rigorous empirical solutions to present-day social and political enquiries and to empower others to do the same. The Institute serves as a focal point at The University of Manchester for applying quantitative methods in interdisciplinary social science research, creating a world-class research environment. Our endeavours contribute to advancing quantitative social science (QSS) in three pivotal ways.