Research Scientist/Engineer 3

University of Washington•Seattle, WA

17h•Onsite

About The Position

The Department of Astronomy has an outstanding opportunity for a Research Scientist/Engineer 3 position to join their team. Two positions available. The Vera C. Rubin Observatory Alert Production group within the Data Intensive Research in Astrophysics and Cosmology (DIRAC) Institute at the University of Washington invites applications for a research scientist to join us in Seattle to develop and operate its real-time astronomical data-processing pipelines. This position is based in Seattle, WA. The Rubin Observatory has begun observations and will soon undertake a decade-long astronomical survey, the Legacy Survey of Space and Time (LSST; http://lsst.org). It will observe half the sky every three nights, detect seven million transient events nightly, and generate more than 6 petabytes of data per year. Its catalogs will include data for about 40 billion objects. The University of Washington is leading the development and operations of the software pipelines that will analyze LSST's images in near-real time, detect millions of transient, variable and moving objects — and alert the world about them. We are looking for a research scientist to work within the Alert Production team and across the wider Rubin Data Management project. In this position you will help develop and operate important elements of the LSST data processing algorithms and software (including work on image differencing, coadded image template generation, object classification, and alert streaming). Twenty percent of your time will be available for original research.

Requirements

Bachelor’s Degree, Astronomy, Physics, Computer Science, or related field
Four years of experience developing Python and/or C++ algorithms and software in an astronomical context

Nice To Haves

Strong written and oral communication skills
PhD in astronomy, physics, computer science, or a related field.
Prior experience with large astronomical survey data and/or software.
Experience with collaborative software development using Git and GitHub.
Commitment to writing clear documentation and software tests; familiarity with continuous integration.
Enthusiasm for contributing to science projects enabled by early LSST data in DiRAC research areas ( https://dirac.astro.washington.edu/research/ ).

Responsibilities

Develop, implement, and test elements of the LSST data processing algorithms and software pipelines, with an emphasis on scientific rigor and computational performance. Work may include image differencing, coadded image template generation, object association and classification, and alert streaming infrastructure.
Contribute to the full development lifecycle, including algorithm and software design, code review, testing, and maintenance, following modern software engineering best practices such as version control, continuous integration, and peer review. Primary development will be in Python, with performance-critical components implemented in C++ or Rust.
Evaluate the scientific data quality of LSST data products as processed by the developed pipelines, ensuring that outputs meet observatory requirements.
Explore large-scale datasets to identify systematic issues, develop quantitative metrics to characterize pipeline performance, and diagnose the root causes of data quality problems.
Propose and implement mitigations in collaboration with pipeline developers and members of the science community.
Communicate the results of algorithm development and data analysis activities through technical notes, peer-reviewed journal papers, and presentations.
Report results to both internal project stakeholders and the broader astronomical community.
Maintain clear and thorough documentation of software, methods, and findings.
Participate in planning meetings to coordinate work activities and track progress.
Lead or collaborate on independent scientific research topics making use of Rubin Observatory data.
Disseminate results through peer-reviewed publications and presentations at scientific conferences.