JiscMail Logo
Email discussion lists for the UK Education and Research communities

Help for ALLSTAT Archives


ALLSTAT Archives

ALLSTAT Archives


allstat@JISCMAIL.AC.UK


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Monospaced Font

LISTSERV Archives

LISTSERV Archives

ALLSTAT Home

ALLSTAT Home

ALLSTAT  1999

ALLSTAT 1999

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

JOBS: PhD Studentship (Nottingham) and Postdoctoral RA (Lancaster)

From:

"Philip D. O'Neill" <[log in to unmask]>

Reply-To:

[log in to unmask]

Date:

Fri, 11 Jun 1999 09:52:05 +0100 (British Summer Time)

Content-Type:

TEXT/PLAIN

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (135 lines)

Dear Colleague,

We would be most grateful if the following advertisement could
be drawn to the attention of suitable candidates.

Many thanks,
Dr. Philip D. O'Neill
Prof. Gareth O. Roberts

------------------------------------------------------------


      UNIVERSITY OF NOTTINGHAM and UNIVERSITY OF LANCASTER
      ----------------------------------------------------

       PhD STUDENTSHIP and POSTDOCTORAL RESEARCH ASSISTANT
       --------------------------------------------------

Applications are invited for the two above-named posts in connection
with the following EPSRC-funded project. Both posts are funded for 3
years, and are available from 1st Oct 1999 (although there is some
flexibility about the exact start date.)

(Note: the usual EPSRC eligibility requirements for studentships do
NOT apply, and so applicants can be from outside the UK and EC.)


== MARKOV CHAIN MONTE CARLO METHODS FOR STOCHASTIC EPIDEMIC MODELS ==

Background: When analysing data from infectious disease outbreaks
it is often desirable to use stochastic models which describe
the underlying infection process. However performing statistical
inference for such models is complicated by a number of factors,
such as the high level of dependency in the data and and fact
that data is invariably only partial.

Recently, the use of Markov chain Monte Carlo (MCMC) methods has
been explored for such problems. Such methods generally allow for
flexible modelling assumptions and result in a more powerful
analysis than has previously been possible. However, for a number
of reasons standard MCMC methods can encounter severe convergence
problems for certain modelling situations.

The Project: The main aim of the project is to develop and apply
efficient MCMC algorithms for Bayesian inference for stochastic
epidemic models. Three main kinds of modelling situation will be
considered, namely epidemics in large single populations; epidemics
among households; and epidemics in populations with social structure.
The project brings together a number of topics such as: developing
new MCMC algorithms based on recent theoretical advances; performing
Bayesian analyses for infectious disease data; developing and
analysing stochastic epidemic models. In particular, there is a blend
of applied probability, stochastic processes, statistical inference,
and computation methods.


Postgraduate Research Studentship
==================================

The Research Studentship, expected to result in a PhD, is based in
the Division of Statistics in the School of Mathematical Sciences
at the University of Nottingham. The Division, which achieved a
Grade 4 rating in the last Research Assessment Exercise, is
currently enjoying a period of expansion, with four recent staff
appointments creating a total of 9 academic staff. There are also
currently 8 research students and research staff. The Student would
join an internationally-recognized research group in Stochastic
Epidemic Models. The Studentship project will be mostly (but not
exclusively) concerned with models for the spread of epidemics among
groups of households, and applying the models to real data. The
funding includes tuition fees, funding for training, and a standard
EPSRC maintenance grant.

Applicants for the Studentship should have, or will shortly obtain, a
first or good upper second degree or Masters in Mathematics or
Statistics.


Postdoctoral Research Assistant
================================

The Postdoctoral Research Assistant would be based in the Statistics
Group in the Department of Mathematics and Statistics at the University
of Lancaster. The Statistics Group includes 12 academic staff and
25 research students and research associates, and achieved Grade 5
rating in each of the last two Research Assessment Exercises.
The RA would be concerned with the development and implementation of
state-of-the-art MCMC methods, particularly with a view to application
to single-outbreak epidemic models and network epidemic models. The
salary commences at point 6 of the RA/1A scale (currently GBP 17,570).

Applicants for the Postdoctoral RA should have, or will
shortly obtain, a PhD in Statistics or Applied Probability.


Project Team
============

The two principal investigators are Dr. Philip O'Neill (Nottingham -
currently at Liverpool) and Prof. Gareth Roberts (Lancaster). In
addition, Prof. Niels Becker (ANU, Australia) is acting in an advisory
capacity. The project team will have regular meetings in both
Nottingham and Lancaster, and it is anticipated that there will also
be opportunities to visit Prof. Becker in Canberra. Funding is also
available for conference attendance.


Applications
============

Applicants should send a CV (two copies) by post or email to the
appropriate address below. Informal enquiries are also welcome.
The closing date for applications is July 9th although late
applications may also be considered.

(Studentship)
Dr. P.D. O'Neill, Division of Statistics and OR, Department of
Mathematical Sciences, University of Liverpool, Liverpool L69 3BX
Email: [log in to unmask]
Tel: 0151-794-4737

(Postdoctoral position)
Prof. G.O. Roberts, Department of Mathematics and Statistics,
University of Lancaster, Lancaster LA1 4YF
Email: [log in to unmask]
Tel: 01524-593948







%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
2006
2005
2004
2003
2002
2001
2000
1999
1998


JiscMail is a Jisc service.

View our service policies at https://www.jiscmail.ac.uk/policyandsecurity/ and Jisc's privacy policy at https://www.jisc.ac.uk/website/privacy-notice

Secured by F-Secure Anti-Virus CataList Email List Search Powered by the LISTSERV Email List Manager