Applications are invited for an exciting postdoctoral opportunity within the Department of Earth System Science at Stanford University to examine how hydrological perturbation shapes the structure and function of subsurface nitrogen cycling communities. The successful candidate will employ a powerful combination of molecular, meta-omic, mathematical modeling, and biogeochemical approaches to examine the importance of key environmental factors on microbial nitrogen cycling in subsurface soils and sediments of Riverton, WY.
This is a Department of Energy, Office of Science funded project, which will collaborate closely with the DOE-supported Groundwater Quality Scientific Focus Area (managed by a team at the SLAC National Accelerator Laboratory; https://www-ssrl.slac.stanford.edu/sfa/). The SLAC team is focused on how transient transport processes feedback on redox biogeochemistry and groundwater quality, with a specific focus on sulfur-iron-phosphorus cycling. The successful candidate will benefit from the infrastructure investments and complementary research activities at the Riverton site.
Desired qualifications and project responsibilities
- Extensive experience with soil/sediment microbiology and omic approaches (including metagenomics, metatranscriptomics, and amplicon sequencing).
- Experience with soil geochemical techniques to characterize nitrogen cycling in situ (including isotope tracer approaches, and greenhouse gas flux measurements).
- Ability to work effectively with scientists of different disciplinary backgrounds and serve as a communication nexus.
- Communicate regularly and work with other researchers on this project in order to facilitate progress toward program goals.
- Ability to work carefully but efficiently in order to meet project goals in a timely manner.
- Publish research results in peer-reviewed journals.
- Presentation of research results to internal groups and at large national and international meetings.
Experience setting-up, running, and interpreting reactive transport or microbial trait-based models.
Required: Ph.D in Environmental Microbiology, Biogeochemistry, Molecular Geobiology, or a related field. Significant laboratory and analytical experience. Strong computational skills for analysis of genomic or biogeochemical data.
To apply: Qualified applicants should submit (1) a curriculum vitae, (2) a one-page statement of research interests, experience, and goals, and (3) the names and contact information of three references. Applications will be reviewed as received, continuing until a suitable applicant is identified. All application materials and inquiries should be sent to Prof. Chris Francis (email@example.com).
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.