[Jobs] : Post-doc in Statistical Demography at Max Planck]

[Leora Lawton]

The Laboratory of Statistical Demography within the Max Planck Institute
for Demographic Research (MPIDR) is seeking to recruit a

Post-doctoral fellow in statistical demography

Job Description
The fellow will join a funded interdisciplinary project including
demographers and evolutionary biologists investigating pre-adult
mortality patterns.  Areas of research include demographic analysis of
heterogeneous mortality risk between conception and maturity in modern
Denmark, characterization of the functional form of mortality decline
over age between conception and maturity across human populations, and
comparisons to and between mortality patterns in non-humans. The fellow
will participate in developing methods to link age-specific mortality to
age-specific dynamics of gene expression, and other projects beyond the
typical bounds of statistical demography. The fellowship does not
require teaching.
For background on the biological aspects of this project, please see:
http://rspb.royalsocietypublishing.org/content/278/1707/801

Required Qualifications
Applicants should have a Ph.D. or expect to have a Ph.D. at latest by
October 2011. Candidates should have a strong background in statistics,
including model identification, and demography, and should be prepared
to create innovative methods for unusual datasets and questions.
Background in biology is not required for this position, but a
willingness to apply demographic thinking and methods to biological
questions is.

Applications should be received by April 30th, 2011. Applications should
include a letter outlining your research background and agenda, a CV
including information about your education, a list of publications, and
the contact details of 3 academic references.
In order to apply please email these documents to appl-o at demogr.mpg.de

The Max Planck Society is committed to employing more handicapped
individuals and especially encourages them to apply. The Max Planck
Society wishes to increase the share of women in areas where they are
underrepresented, and strongly encourages women to apply.

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