|From||Stefan Metzger <email@example.com>|
|Date||Thu, 27 Jul 2017 22:32:08 +0000|
We have an opportunity for a scientific code developer in the R Programming language for Statistical Computing to strengthen our eddy-covariance (EC) team. Your help in spreading the word to suitable candidates would be much appreciated: this might be ideal for recent Science or Software major graduates or as part-time job (min 50%).
eddy4R-Docker is the first EC flux processor building on the open-source, reproducible and community-extensible DevOps software development model. Amongst others it produces NEON’s first EC data, and provides an environment for advanced end-to-end analytics and modelling for EC flux and rich contextual data (e.g., Metzger et al., 2013; Vaughan et al., 2016; Xu et al, 2017).
We are looking for an individual with strong coding skills in R for integrating, hardening and performance-improving existing code. An active role in generating new scientific code modules is possible, but not required. Knowledge of EC or specific software development tools (Git, GitHub, HDF5, Docker, Roxygen…) is an asset, but not required.
The place of performance is Boulder, CO, USA, and partial remote work is possible depending on team-integration. Eligibility to work in the USA is required.
You can find the full job description attached. If you are interested or have questions, please reply to eddy4R.firstname.lastname@example.org and include your cover letter and resume. This opportunity is open immediately and throughout 2017.
Stefan and Hongyan.
Stefan Metzger, Ph.D.
Team Lead – Surface-Atmosphere Exchange
National Ecological Observatory Network (NEON)
Adjunct Assistant Professor
Dept. of Atmospheric and Oceanic Sciences, University of Wisconsin
Office: +1-720-836-2421 | Fax: +1-720-836-2494
1685 38th Street, Suite 100
Boulder, CO 80301, U.S.A.
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