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Postdoctoral Positions in Metagenomic Informatics

Microbes play fundamental roles in all biology associated processes on the planet. A powerful new tool in such studies is metagenomics wherein one uses high throughput DNA sequencing methods on DNA isolated directly from environmental samples.

Metagenomics has the potential to revolutionize our understanding of the normally hidden yet incredibly important world of microorganisms. However this great potential comes with enormous challenges in the analysis of the sequence data, including (i) the fragmentary nature of sequence data, (ii) the sparse sampling of genomes, populations and communities, and (iii) the unknown phylogenetic diversity and ecological structure of the communities being sampled.

We are seeking five post-doctoral scientists and a software engineer to work on the methodology for analysis of metagenomic data as part of a new collaborative project: Integrating Statistical Evolutionary, and Ecological Approaches to Metagenomics (iSEEM). The iSEEM project, funded by the Gordon and Betty Moore Foundation, takes an integrated, interdisciplinary approach to metagenomic analysis. The project spans three PIs, each with different areas of focus and two institutions (UC Davis and U Oregon). Each postdoctoral position will be associated with one of the PIs at their home institution.

All applications will be evaluated by all PIs, and locations of hires will be determined mutually by the applicants and the PIs. Appointments will last 2 years beginning in Summer 2008.

Applicants should have a PhD in a biological, mathematical, or statistical field, and an interest in working at the interface between the mathematical and biological sciences. We will evaluate applications as they arrive and continue until the positions are filled. Please send:

  1. a brief cover letter explaining your background, career interests, and preferred geographical location for work (if any),
  2. CV (including publications),
  3. names and contact information for 3 references.

Material should be sent via email to

Jonathan A. Eisen (UC Davis)
U. C. Davis Genome Center
Center for Population Biology
Section of Evolution and Ecology
Department of Medical Microbiology and Immunology

Jessica L. Green (U Oregon)
Center for Ecology and Evolutionary Biology
Department of Biology

Katherine S. Pollard (UC Davis)
U. C. Davis Genome Center
Center for Population Biology
Department of Statistics