Analysis Postdoctoral Research Associate

The Simons Observatory (SO) is an $80 million dollar project supported by the Simons Foundation, the Heising-Simons Foundation, and member organizations, dedicated to understanding how the universe originated and evolved over the past 13.8 billion years. The SO project began in 2016 and is comprised of the design and deployment of four special-purpose telescopes, a high-altitude site, and cryogenic detectors. The SO will collect a comprehensive range of data spanning angular scales from one arcminute to nearly 70% of the sky visible from its site in the Atacama Desert of northern Chile, at an altitude of 5200 meters (17,200 feet) above sea level.

The SO is comprised of over 40 institutions world-wide with over 300 participating members, representing scientific/academic/educational personnel, engineers, managers, and other parties. Upon completion, SO will be the largest, most ambitious observatory of its kind designed to probe the composition and evolution of the entire universe. The Simons Observatory Project Office at UC San Diego is responsible for the construction and operation of the Simons Observatory.

The Department of Physics at Princeton seeks applicants for a postdoctoral research associate or more senior position to work on data analysis with the Simons Observatory (SO) project. SO is a cosmic microwave background survey experiment currently being built for observations from the Atacama Desert in Chile. The SO analysis group at Princeton, led by Jo Dunkley and Simone Aiola, shares responsibility for making and characterizing sky maps for scientific analysis. The successful candidate will contribute to developing and refining pipelines and methods for generating and characterizing the SO maps, as part of the broader SO data analysis efforts. Appointments are for one year, with the possibility for renewal pending satisfactory performance and continued funding for a total of three years.

Ph.D. in physics or astrophysics. Experience with data analysis, preferably with CMB data. Ability to work with a cross-section of post-docs, graduate students, and software engineers in a large collaboration environment.

This position is subject to the University’s background check policy.

To apply online please visit and submit a research statement of up to three pages in length, CV, and contact information for three references.

To ensure full consideration, application materials should be received by January 20, 2023.

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