The Department of Physics and Stockholm University is affiliated to Stockholm Dual Career Network (SDCN) that supports expat partners with professional events, career-related advice, and by building a social network in their new hometown, www.sdcn.se.

We are now searching for a highly motivated system developer in software to develop scientific software infrastructure for the international Dark Energy Science Collaboration (DESC), which aims to make high-accuracy measurements of fundamental cosmological parameters using data from the Legacy Survey of Space and Time (LSST) observed by the Vera C. Rubin Observatory. The project has funding for a three years employment.

The Vera C. Rubin Observatory is a next-generation astronomical facility currently under construction in Chile. Rubin’s LSST will be one of the largest and most comprehensive astronomy surveys of its kind, enabling countless astronomical and physics discoveries. To take best advantage of the LSST data, DESC develops new methods for obtaining state-of-the-art, robust cosmology constraints and builds robust, high-throughput software pipelines to simulate, re-process and analyze images and catalogs at LSST scale.

The holder of the employment will work alongside scientists in Stockholm and collaborate internationally with scientists in the DESC. Responsibilities may include understanding various LSST science use cases and then applying software engineering expertise to modify, extend, and update the Rubin data processing pipelines in response to emergent scientific needs, community requests, and bug reports. The position is funded by a Knut and Alice Wallenberg Foundation research project grant to Hiranya Peiris, Jens Jasche, Ariel Goobar, Jesper Sollerman, and Matthew Hayes.

The successful candidate will be part of the Oskar Klein Centre for Cosmoparticle Physics (www.okc.albanova.se) in Stockholm, a rich scientific environment that comprises more than a hundred researchers working in both theory and experiment in the fields of astronomy, astrophysics, and particle physics at both Stockholm University and the Royal Institute for Technology. The OKC hosts a vibrant research program on dark matter, dark energy, transient and multimessenger astrophysics, galaxy evolution, structure formation, and related particle physics questions.

Main responsibilities

The successful candidate will spend 50 percent of their time working collaboratively with a large international team of system developer in software preparing the scientific analysis infrastructure for the DESC. During the remaining 50 percent of the time the candidate is expected to support Stockholm researchers in conducting original research on the cosmic large-scale structure or time-domain cosmology, broadly related to testing fundamental physics and cosmology with LSST. A system developer in software at the Oskar Klein Centre will:

  • Design, develop, implement, and maintain the pipeline, workflow, continuous integration, data processing, analysis, and management software for our collaboration infrastructure
  • Troubleshoot and resolve complex technical problems, and review the design of existing systems for optimizing performance, especially on HPC systems
  • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently
  • Work as an integrated member of the DESC Computing Infrastructure team, proactively consulting with the wider collaboration to learn about requirements
  • Develop and apply novel statistical and machine learning techniques, including writing production-level code for analysis of LSST data and precursor datasets.

Specific tasks may include developing web apps for time-domain alert management pipelines, supporting software development via continuous integration and deployment, or building large-scale data management systems and databases.

The position also involves coordinating work with a large international team of developers in different time zones. This may require the successful candidate to accommodate meeting times that allow for the participation of colleagues based on the US west coast in their morning.

 

Ref. No. SU FV-3886-21

Closing date: 15 January 2022

Complete information here.