Job Advertisement: Closing Date 1st December 2020
Postdocs on Machine Learning for Space Weather
The Cooperative Institute for Research in Environmental Sciences
(CIRES) encourages applications for two full-time Post-Doctoral
Researchers to work on the development, validation, and calibration of
space weather models, using machine learning and physics-based models.
The positions contribute to a NASA-funded project within the "Space
Weather with Quantified Uncertainty" program. The main objective will
be to deliver probabilistic space weather forecasts with their
associated uncertainties. In particular, the two positions will focus
on the forecast of solar wind quantities (speed and magnetic field)
and of ground magnetic field (possibly geomagnetic indexes). The
position will involve close collaboration with other post-docs,
students, and senior members of the project, which are divided between
CIRES, the Computer Science Department and the Space Weather
Technology, Research, and Education Center (SWx-TREC) at CU Boulder,
and the space physics group at the University of California, Los
Angeles. The position will be primarily based at CU Boulder, although
remote working can be considered.
The University of Colorado Boulder is committed to building a
culturally diverse community of faculty, staff, and students dedicated
to contributing to an inclusive campus environment. We are an Equal
Opportunity employer, including veterans and individuals with
disabilities.
To apply: https://jobs.colorado.edu/jobs/JobDetail/CIRES-Post-Doctoral-Associate-in-Machine-Learning-for-Space-Weather/27658
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