{"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 Carleton 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 Carleton 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}]}}