Post-docs in wind and solar power forecasting

February 20, 2019
By

(This article was first published on R on Rob J Hyndman, and kindly contributed to R-bloggers)

We currently have two postdoc opportunities together with an industry partner in the field of wind and solar power forecasting (full time, Level B). They are suitable for recently graduated PhD students that can start between now and June-July.

The opportunities are as follows:

Wind power forecasting:

  • 1 year contract
  • Good programming skills in R and/or Python
  • Solid background in Machine Learning and/or Statistics
  • Background in time series forecasting desirable

Solar power forecasting:

  • 6 months contract
  • Good programming skills in R and/or Python
  • Solid background in Machine Learning and/or Statistics
  • Data will be cloud coverage data from sky cams, so some image processing background is necessary
  • Background in time series forecasting desirable

Please contact Christoph Bergmeir if you are interested.

To leave a comment for the author, please follow the link and comment on their blog: R on Rob J Hyndman.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)