Research Assistant Position
Project title:
The development and analysis of Statistical Models for Clustering
Summary:
The work will involve the development of Bayesian hierarchical models for
object clustering. A variety of approaches will be examined including
highly parameterized Likelihoods, and composite-likelihood or
pseudolikelihood models. The models developed will require implementation
via MCMC techniques, and so Monte Carlo simulation will be a fundamental
part of the work. Applications of the models are within small area health
data analysis (disease clustering) and surveillance of minefields.
Appointment will be made at either the predoctoral level (3 years), or
postdoctoral level (2 years). Suitable candidates for the predoctoral
position should have a degree or MS in Statistics or Biostatistics.
Suitable candidates for the two year position would hold a PhD degree in
Statistics or a computational subject. The project will involve the
development of simulation and programming skills and the successful
candidate should be able to develop analytical skills in handling Bayesian
models.
Project supervisor: Professor Andrew B. Lawson
Dept of Epidemiology and Biostatistics
Arnold School of Public Health
University of South Carolina
Columbia
SC 29208
For more information please email:
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Professor Andrew B. Lawson
Arnold School of Public Health
University of South Carolina
Columbia SC 29208
USA
ph: 803-777-6647
fax:803-777-2524
email:[log in to unmask]
web site:http://www.sph.sc.edu/alawson/
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