Cornell University
Department of Biological Statistics and Computational Biology

Postdoctoral Fellowship in Computational and Statistical Genomics, Computational Biology and
Bioinformatics, or Theoretical Population Genetics

Description:
A two year postdoctoral position is available in the new Department of Biological Statistics and
Computational Biology at Cornell University to work with Dr. Carlos Bustamante.  The applicant will be
expected to develop an independent research project in statistical genomics, computational biology, or
computational statistics as applied to problems in evolutionary genomics and to collaborate on several
theoretical projects in the lab.  Computational resources are excellent and will include a dedicated
state-of-the-art cluster.

Qualifications:
The successful applicant will have either a Ph. D. in Statistics (or related field) with an interest in genetics, a
Ph. D. in Biology / Genetics with strong computational skills and graduate course work and research
experience in computational and/or theoretical statistics, or a Ph. D. in Computer Science with experience
in machine learning and an interest in genetics or bioinformatics.

Starting Date:
The starting date is flexible, but preferably between Sept. 1 and Nov. 1, 2002.

Application Process:
Please send an email with subject “BSCB Postdoc Application” to Carlos Bustamante at
cdb28@cornell.edu and attach a postscript or pdf format file (absolutely no MS Word docs please!)
including (1) a cover letter with description of research experience and research interests along with
contact information (email, phone, and fax) for three referees, (2) a CV including a list of publications, and
(3) a short description (under 500 words) of the proposed project to be undertaken under the fellowship.

Applications will be reviewed starting July 15 and continue until the position is filled.  For more information
on research interests please see http://www.stats.ox.ac.uk/~bustamen/index.html.

Cornell University is an Affirmative Action/Equal Opportunity Employer.