Researcher in Data Visualization and Galaxy Evolution at the University of Pittsburgh
The successful applicant will work on the upcoming project Mapping Nearby Galaxies at APO (MaNGA: PI Kevin Bundy), which is part of the fourth generation Sloan Digital Sky Survey (SDSS-IV). MaNGA is an optical fiber-based multi-object IFU that will target 10,000 galaxies over a 6 year campaign with a scheduled first light in 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 be primarily responsible for the development of MaNGA's data retrieval and visualization software, and will also participate in the scientific analysis of MaNGA data with Prof. Carles Badenes and other team members within the SDSS collaboration.
The University of Pittsburgh participation in SDSS-IV also includes Profs. Michael Wood-Vasey and Jeffrey Newman. The nearby Carnegie Mellon University is also an institutional member of SDSS-IV. The two institutions enjoy a rich collaborative relationship and the postdoc will have the opportunity to interact with SDSS-IV participants at both institutions.
The start date will be Fall 2014, although an earlier start date may be possible upon mutual agreement. The appointment is expected to be for two years with the possibility of renewal for a third year based on satisfactory performance. The salary range will be based on the experience of the successful applicant.
The successful candidate is expected to have a PhD in astronomy or a related field. Exceptional candidates with other backgrounds will also be considered. Experience with software development is strongly preferable. Previous involvement in IFU observations, familiarity with Python and/or IDL, automated query design for large databases, or API/graphical user interface design will be considered as a plus. Applicants should submit a letter of application outlining prior data visualization and software development experience, a curriculum vitae, bibliography, and a statement of research interests to email@example.com, with the subject 'MaNGA Researcher', by the closing date 15th January 2014. They should further arrange for three reference letters to be sent by email to firstname.lastname@example.org to arrive by the same date. Late applications may be considered until the post has been filled.
The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer. Women and members of minority groups under-represented in academia are especially encouraged to apply.