Scientific Analyst II, Steward Observatory (Part Time)

The University of Arizona's Steward Observatory invites you to apply to the role of Scientific Analyst II.

In this multifaceted role, you will support an ongoing research project focused on creating point source-subtracted FUV and NUV maps from the GALEX archival all-sky data. These all-sky maps will be combined with and compared to other data sets to develop 3-D models of the nearby dust structure and environment using machine learning and advanced statistical methods. The resulting maps will also be used to conduct a statistical study of causal inference across a wide range of all-sky galactic data sets.

Steward Observatory is both a century-old observatory on the University of Arizona campus and one of the University's oldest research units. Founded in 1918, the Observatory brings together students, staff, faculty, engineers, and technicians to explore the universe and share discoveries through world-class research, education, and outreach. With more than 180 professionals supporting advanced facilities, laboratories, and observatories, Steward Observatory offers a collaborative environment where technical expertise plays a critical role in advancing ground- and space-based astronomy.

Candidates working anywhere in the U.S. may be considered for a remote assignment.

Visa sponsorship is not available for this position.

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• Refine and enhance the analysis of GALEX FUV images by performing point source subtraction, infilling, sky background matching, and mosaicing into larger fields.
• Develop and integrate GALEX FUV data into the HiPS format to support all-sky accessibility, as well as assisting in any uploads or uses for other projects. Assist with data uploads to the MAST archive and incorporate the dataset into ongoing 3D Galactic dust mapping efforts. Extend the analysis to the currently untapped GALEX NUV dataset, which will require significant changes to the existing code base.
• Conduct comparative analyses between the completed all sky map in the FUV and maps of high-latitude CNM structures generated from HI4PI and GALFA-HI data using a modified CNM detection algorithm. Compare these datasets with an enhanced TD1 catalog to determine distances to dust structures through the application of machine learning, Monte Carlo radiative transfer calculations, and statistical analysis methods.
• Develop an all-sky NUV map based on the established FUV processing methodology and perform the same comparative analyses conducted for the FUV dataset, including evaluation against CNM structure maps and the enhanced TD1 catalog.
• Prepare scientific papers describing the research findings and develop comprehensive documentation detailing the data processing methodology, workflows, and procedures used to create the dataset for submission to the MAST archive.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

• Master's degree required.
• Minimum of 3 years of relevant work experience, or equivalent combination of education and work experience.

• Conferred degree in Physics.
• Demonstrated working knowledge of statistics through relevant coursework or professional experience.
• Experience working with GALEX data.

The Rate of Pay Field represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, key skills, and internal equity.

The Grade Range represents a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.

The grade range for this position is $59,404 - $89,105. Each unit typically sets starting pay between the minimum and midpoint upon hire as reflected in the Rate of Pay field above.