The department of Physics at Princeton seeks applicants for a research software engineer to work on the Simons Observatory (SO) project. SO is a millimeter-wave survey experiment currently being built for observations from the Atacama Desert in Chile, with a variety of scientific goals from probing the early universe to detecting millimeter-wave transients. The SO data analysis group at Princeton, led by Simone Aiola and Jo Dunkley, shares responsibility for producing and delivering sky maps and light curves for scientific analysis. The position will involve working with the SO Data Management team on topics including automation of the SO pipeline on HPC systems, algorithm development for optimization of research software, packaging and deployment of research software, and aspects of internal and public delivery of the SO data and software. This position is based in Princeton, NJ. Appointments are initially for one year, with the possibility for renewal pending satisfactory performance and continued funding.
- Advanced degree in computer science, engineering, physics, math or other closely related field
- Significant experience in using Python for numerical analysis
- Significant experience with data management tasks in a Unix environment
- Familiarity with collaborative development tools such as git and github
- Experience with High Performance Computing
This position is subject to the University's background check policy. To apply online, please visit https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=28801 and include a cover letter, CV, and contact information for three references. Evaluation of applicants will begin on February 1, 2023 and continue until the position is filled.
Princeton University is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.