Kelvyn Jones's University web page is here, and many of his publications can be downloaded here
Areas of application
Geographical inequalities in health and mortality outcomes, nationally and globally
Ethnic, income and social segregation
Longitudinal changes in place characteristic
Neighbourhood and place effects
Multilevel modelling of data with complex geographical structures
Multilevel models for segregation
Modelling of Age-Period and Cohort effects in combination with geographical differences
Item response model to examine changing latent structures for people and places
Example PhD topics
How to use latent models to provide good reliable measures of people and place characteristics as they change over time; this could use readily-available data from a panel study combined with item-response methodology in the manner of Raudenbush et al (2003) Sociological Methodology, 33(1), 169-211, but additionally model change and spatial effects.
Changing segregation in terms of income, health, and/or ethnicity; this could use data from a variety of sources and use multilevel models in the manner of Leckie et al (2012) Journal of Educational and Behavioral Statistics, 37(1), 3-30.
The effects of neighbourhood on a variety of outcomes (income, well-being, political attitudes etc) using the new very large Understanding Society data (http://www.esds.ac.uk/findingData/snDescription.asp?sn=6614) in the manner of McCulloch (2001) Environment and Planning A 33(4) 667-684, but now with a finer spatial scale and a greater statistical power to detect cross-level interactions between individual and neighbourhood characteristics (Jones and Duncan, 1995, Health and Place 1(1), 27-40).