We invite applications for a postdoctoral scholar position at the University of Kentucky to work on the upcoming project Mapping Nearby Galaxies at APO (MaNGA: PI Kevin Bundy), which is part of SDSS-IV. MaNGA is an optical fiber-based multi-object IFU survey that will target 10,000 galaxies over a 6 year campaign with a scheduled first light in autumn 2014. MaNGA will allow the internal kinematics and spatially-resolved properties of stellar populations and gas inside galaxies to be studied as a function of local environment and halo mass for the very first time. The successful candidate will hold the title of MaNGA Survey Operations Manager in SDSS-IV and be primarily responsible for the daily monitoring of data quality, and performance of the automated reduction and analysis pipelines, and will be encouraged to participate in the continued development of the pipeline and the observing software system. The candidate will work with both the SDSS-IV/MaNGA team and the observing team at Apache Point Observatory, but primarily under the supervision of MaNGA Survey Scientist, Renbin Yan, at the University of Kentucky. The candidate is expected to spend 75% of his/her time on functional work and 25% on science, ideally on topics that will take advantage of the IFU data from MaNGA, such as stellar population age and metallicity, initial mass function, ISM abundance and ionization, internal kinematics of stars and gas, and triggering and feedback of AGN. For more details on MaNGA and the science one could do, see http://www.sdss3.org/future/sdss4.pdf and http://www.sdss3.org/future/manga.php .
We expect to make an appointment for two years with the possibility of renewal for a third year based on satisfactory performance and available funding. The appointment is expected to start on or before Sep 1, 2014. The job will require occasional travel to Apache Point Observatory in New Mexico.
A PhD in astronomy or physics is required. Previous experience with software development (especially IDL and python), spectroscopic observations, and/or IFU observations and analysis are strongly preferred. Knowledge of database management will be considered as a plus. Applicants should submit a letter of application outlining relevant prior experience, a CV, bibliography, and a statement of research interests, and have three letters of recommendation submitted separately, via the website http://academicjobsonline.org/ajo/jobs/3301. Review of application will begin after Jan 1, 2014 and continue until the position is filled.
Questions about the position may be sent to Renbin Yan at email@example.com .