{"id":756,"date":"2024-05-14T17:12:00","date_gmt":"2024-05-14T15:12:00","guid":{"rendered":"https:\/\/news.uni-goettingen.de\/gauss-career\/?p=756"},"modified":"2024-06-14T06:41:35","modified_gmt":"2024-06-14T04:41:35","slug":"open-call-of-the-dfg-priority-programme-machine-learning-in-chemical-engineering-knowledge-meets-data-interpretability-extrapolation-reliability-trust-apply-by-4-june-2024-3","status":"publish","type":"post","link":"https:\/\/news.uni-goettingen.de\/gauss-career\/2024\/05\/14\/open-call-of-the-dfg-priority-programme-machine-learning-in-chemical-engineering-knowledge-meets-data-interpretability-extrapolation-reliability-trust-apply-by-4-june-2024-3\/","title":{"rendered":"Open call of the DFG Priority Programme \u201cMachine Learning in Chemical Engineering. Knowledge Meets Data: Interpretability, Extrapolation, Reliability, Trust\u201d (apply by 4 June 2024)"},"content":{"rendered":"
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The German Research Foundation (DFG) has launched a call for the second three-year funding period of Priority Programme \u201cMachine Learning in Chemical Engineering. Knowledge Meets Data: Interpretability, Extrapolation, Reliability, Trust\u201d<\/a>. <\/p>\n\n\n\n

This programme aims to advance chemical engineering (CE) and machine learning (ML) through research projects that combine the knowledge of experts from both communities. Projects under this call must address at least one CE area and one ML area, and, additionally, at least one of the following scientific challenges: optimal decision making, introducing\/enforcing physical laws in ML models, heterogeneity of data, information and knowledge representation, safety and trust in ML applications, and creativity. All projects should focus on the field of fluid processes with or without chemical reactions.<\/p>\n\n\n\n

Proposals can be submitted until 4 June 2024<\/strong>. Please note that proposals can only be submitted via elan, the DFG\u2019s electronic proposal processing system.\u00a0Applicants must be registered in elan prior to submitting a proposal to the DFG. If you have not yet registered, please note that you must do so by 21 May 2024<\/strong> to submit a proposal under this call.<\/p>\n\n\n\n

For further details and infos on how to register and submit the proposal see here: https:\/\/www.dfg.de\/de\/aktuelles\/neuigkeiten-themen\/info-wissenschaft\/2024\/ifr-24-12<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The German Research Foundation (DFG) has launched a call for the second three-year funding period of Priority Programme \u201cMachine Learning in Chemical Engineering. Knowledge Meets Data: Interpretability, Extrapolation, Reliability, Trust\u201d<\/a>. <\/p>\n

This programme aims to advance chemical engineering (CE) and machine learning (ML) through research projects that combine the knowledge of experts from both communities. … Continued<\/a><\/p>\n","protected":false},"author":26,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[42,39],"tags":[46],"_links":{"self":[{"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/posts\/756"}],"collection":[{"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/comments?post=756"}],"version-history":[{"count":1,"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/posts\/756\/revisions"}],"predecessor-version":[{"id":757,"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/posts\/756\/revisions\/757"}],"wp:attachment":[{"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/media?parent=756"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/categories?post=756"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.uni-goettingen.de\/gauss-career\/wp-json\/wp\/v2\/tags?post=756"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}