{"id":285,"date":"2024-07-08T08:35:28","date_gmt":"2024-07-08T12:35:28","guid":{"rendered":"https:\/\/carleton.ca\/apex\/?p=285"},"modified":"2025-06-19T12:18:18","modified_gmt":"2025-06-19T16:18:18","slug":"physics-informed-deep-learning-for-wind-power","status":"publish","type":"post","link":"https:\/\/carleton.ca\/apex\/2024\/physics-informed-deep-learning-for-wind-power\/","title":{"rendered":"Physics-informed deep learning for wind power forecasting"},"content":{"rendered":"\n
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\n Physics-informed deep learning for wind power forecasting\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n\n

A PhD or Postdoc position <\/b>in physics-informed deep learning<\/b> for wind power forecasting<\/b> is open in the APEX lab at ÐÓ°ÉÔ­´´ University in Ottawa, Ontario, Canada. The ideal candidate will have experience in one, or more, of the following areas:<\/p>\n\n\n\n

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  1. Deep learning, auto-encoders, anomaly detection<\/li>\n\n\n\n
  2. Numerical Weather Prediction (NWP) modeling, Computational fluid dynamics<\/li>\n\n\n\n
  3. Wind power forecasting methods<\/li>\n\n\n\n
  4. Big data analytics, algorithm parallelization, database development<\/li>\n<\/ol>\n\n\n\n

    Applications are welcome from all areas of engineering, applied math and computer science, and are especially encouraged from under-represented groups including, but not limited to: women; visible minorities; First Nations, Inuit and M\u00e9tis peoples; persons with disabilities; and persons of any sexual orientation, gender identity and\/or expression.<\/p>\n\n\n\n

    A background in Python programming is considered a strong asset. The start date is negotiable, ideally commencing in Winter\/Spring<\/strong> 2025<\/b> or Fall 2025.<\/p>\n\n\n\n

    Inquiries about the position may be addressed to Prof. Kristen R. Schell, kristenschell@cunet.carleton.ca<\/a>. Please include a current CV and statement of interest with your query.<\/p>\n","protected":false},"excerpt":{"rendered":"

    A PhD or Postdoc position in physics-informed deep learning for wind power forecasting is open in the APEX lab at ÐÓ°ÉÔ­´´ University in Ottawa, Ontario, Canada. The ideal candidate will have experience in one, or more, of the following areas: Applications are welcome from all areas of engineering, applied math and computer science, and are […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[28],"tags":[],"class_list":["post-285","post","type-post","status-publish","format-standard","hentry","category-research-positions"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/posts\/285","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/comments?post=285"}],"version-history":[{"count":2,"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/posts\/285\/revisions"}],"predecessor-version":[{"id":502,"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/posts\/285\/revisions\/502"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/media?parent=285"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/categories?post=285"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carleton.ca\/apex\/wp-json\/wp\/v2\/tags?post=285"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}