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Research Officer

London School of Economics
Contract Type
Fixed Term
£35,432 to £42,860 pa
Expiry Date
Applications are invited for a Research Officer position on the research project Methods for the analysis of longitudinal dyadic data with an application to intergenerational exchanges of family support, co-funded by the ESRC and EPSRC

Job Description

You will work closely with Professor Fiona Steele (the Principal Investigator), Professor Irini Moustaki, Dr Jouni Kuha, and the other investigators. The Research Officer will conduct literature reviews, contribute to methodological developments, conduct simulation studies and data analysis, develop and document R packages, and will have the opportunity to co-author research papers.


Candidates must have a PhD in Statistics or expect to have submitted their PhD by the post start date, and a proven record of delivering high quality published research, or clear demonstration of potential to do so. Experience of Bayesian statistical modelling and MCMC methods, advanced skills in R, and experience with Bayesian modelling software are essential for the job. Knowledge of latent variable or random effects models and methods for the analysis of longitudinal data is desirable. Excellent written and oral communication skills, including an ability to place one's specialist work within a broader context and to communicate research findings effectively to a range of audiences are essential.


We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.


For further information about the post, please see the how to apply document, job description and the person specification linked to in the advert on the LSE website.


To apply for this post, please go to If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email Professor Fiona Steele (


The closing date for receipt of applications is 5 November 2018 (23.59 UK time). Regrettably, we are unable to accept any late applications.


Interviews will take place in November 2018.