Kepler and K2 Training Materials Developer

NumFocus, via a contract with STScI and in collaboration with the Astropy Project, is seeking multiple full and part-time contractors.

We are seeking a contractor or contractors to develop training materials for the resources available in the Python programming language for the analysis of Kepler and K2 data. These training materials should include introductory material, noise removal, and applying machine learning and cloud computing to the Kepler and K2 data (https://registry.opendata.aws/kepler/).

Ideal candidates would have experience with Kepler and K2 data and the Lightkurve package. Experience with machine learning cloud computing is also a plus. Past experience with developing training materials is not required but an ideal candidate would have a demonstrated interest in computational training.

These services are expected to be completed remotely and contractors will be expected to participate in regular telecons. 

Compensation will be hourly at a rate of $75–130/hour, depending on experience. The work needs to be completed by Sept 30, 2020 so we are particularly interested in candidates who are available to start work immediately. All applications received by April 7 will receive full consideration.

To apply, please send an email to [email protected] with a resume attached and a description of your interest in the role in the body of the email. Also include specific examples of relevant experience and its outcomes (e.g. include screenshots, links to pull requests). Please also describe your availability between now and Sept 30, 2020.