Software Developer for LSST DESC

Submission Information
Publish Date: 
Monday, November 15, 2021
Archive Date: 
Monday, January 17, 2022
To event remaining 51 days
Job Summary
Job Category: 
Scientific/Technical Staff
Institution Classification/Type: 
Large Academic
Stockholm University
Department Name: 
Department of Physics / Department of Astronomy
Street Line 1: 
AlbaNova University Center
Street Line 2: 
Roslagstullsbacken 21
106 91
Job Announcement Text: 

The Department of Physics and the Oskar Klein Centre for Cosmoparticle Physics ( at Stockholm University are seeking a highly motivated software developer to create 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) conducted by the Vera C. Rubin Observatory.

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. To take the best advantage of the LSST data, DESC develops new robust, high-throughput software pipelines to simulate, re-process and analyze images and catalogs at LSST scale.

The successful candidate will work alongside scientists in Stockholm and collaborate internationally with scientists in the DESC. Responsibilities of the post holder will include:

  • Designing, developing, implementing, and maintaining the pipeline, workflow, continuous integration, data processing, analysis, and management software for our collaboration infrastructure.
  • Troubleshooting and resolving complex technical problems, and reviewing the design of existing systems for optimizing performance, especially on HPC systems.
  • Proposing, conceptualizing, designing, implementing, and developing solutions for difficult and complex applications independently.
  • Working as an integrated member of the international DESC Computing Infrastructure team.
  • Developing and applying novel statistical and machine learning techniques, including writing production-level code for analysis of LSST data.

Please follow the link for further details on the job and to submit applications: job advert

Application Deadline: 
Saturday, January 15, 2022
Selection Deadline: 
Tuesday, February 15, 2022
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
Hiranya Peiris
Institution/Company Job ID or Reference Code: 
Stockholm University
Inquiries About Job
Attention To: 
Hiranya Peiris
Software Developer for LSST DESC