Announcing a Summer Fellowship in Ecology and Evolutionary Biology to learn Data Science using Natural Reserve weather data; Details about the general program can be found here https://environmentaldatainitiative.org/2022-dm-fellowship-program/
Project description: The Fellow will have the opportunity to archive two datasets collected in southern California, each featuring multiple years of climate data recorded either by sensors (James San Jacinto Natural Reserve) or by hand (Boyd Deep Canyon Natural Reserve). Core tasks for the Deep Canyon dataset would be creating a pipeline to input existing and future excel sheets and concatenating records into non-proprietary tabular formats (e.g., .csv) to archive in the EDI repository. For the James reserve data, core tasks will include trimming records to sensor in-situ dates, checking for erroneous records, applying existing R code to model minimum and maximum daily temperatures from semi-hourly data, and concatenating records into non-proprietary tabular formats (e.g., .csv) to archive in the EDI repository. The Fellow will also document each step as a workflow for ongoing projects and if time and the Fellow’s skillset allow, there are also opportunities to archive derived products of these data.
To successfully complete the training program, a basic interest in data science is necessary. Prior experience of using the programming languages R or Python is required (i.e. College level class or Carpentries training). Some experience in collecting and analyzing ecological data is advantageous.
The duration of the fellowship training program is June 13 – August 19, 2022 and requires full-time commitment to the training activities. The fellowship support is $6000.
If you are interested contact Marko Spasojevic (email@example.com)