Jobs at the SETI Institute

Post Doctoral Researcher
The SETI Institute is looking for a dynamic individual to join a collaboration between the SETI Institute, the NASA Ames Astrochemistry Laboratory, and Leiden University in the Netherlands. Using the extensive infrared spectroscopic data set collected in the Polycyclic Aromatic Hydrocarbon (PAH) Ames Database, the candidate will develop an updated version of an Infrared Fluorescence model. The new model will be used to analyze the ubiquitous PAH IR emissions from objects within our Galaxy to galaxies across the Universe. This will yield improved knowledge about the size, structures, and charge states of the PAHs present in the ISM. Information resulting from this study is a new probe of conditions within the various emission zones.

Kepler Archive Scientist
The focus of this work is the production of the Kepler Results Catalog, which will be released periodically until final release in September, 2013. Kepler is a NASA Discovery mission designed to detect and characterize habitable, earth-like planets orbiting sun-like stars. For further information about Kepler, see www.nasa.gov/kepler. The successful candidate will be encouraged to devote 20% of their time to astronomical research of interest to Kepler, actively collaborating with other Science Office and Science Team members, as appropriate.

Kepler Data Scientist
The SETI Institute is seeking a scientist to analyze data from the Kepler mission as it continues its quest to locate the first Earth-sized exoplanets residing within the habitable zones of nearby stars. The successful applicant will be a member of the Kepler Science Office, located at the NASA-Ames Research Center, and will be an integral part of the Kepler Team that shares proprietary ownership of the data and its scientific exploitation. This Support Scientist will develop critical algorithms for maximizing the detection sensitivity of Kepler; assist in the incorporation of these algorithms into the Kepler processing pipeline; work to optimize the performance of the pipeline; and monitor the resulting data products.