{"id":185,"date":"2022-05-21T00:29:51","date_gmt":"2022-05-20T22:29:51","guid":{"rendered":"https:\/\/people.unipi.it\/francesco_fidecaro\/?p=185"},"modified":"2022-05-21T00:29:52","modified_gmt":"2022-05-20T22:29:52","slug":"two-year-term-research-associate-position-in-artificial-intelligence-applied-to-acoustic-noise","status":"publish","type":"post","link":"https:\/\/people.unipi.it\/francesco_fidecaro\/two-year-term-research-associate-position-in-artificial-intelligence-applied-to-acoustic-noise\/","title":{"rendered":"Two year term Research Associate position in Artificial Intelligence applied to Acoustic noise"},"content":{"rendered":"<p>GPU based development of supervised and supervised methods for the identification of acoustic noise sources using continuous recording of single audio channels; application to port noise using an Acoustic Camera with 1 video and 112 audio channels.<\/p>\n<p>The position is cofunded by the private company iPOOL Srl, operating in the field of Acoustic Noise, where part of the research shall be done.<\/p>\n<p>Duration: 24 months<\/p>\n<p>Yearly gross salary: 30 k\u20ac, monthly net salary 1790 \u20ac<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GPU based development of supervised and supervised methods for the identification of acoustic noise sources using continuous recording of single audio channels; application to port noise using an Acoustic Camera with 1 video and 112 audio channels. The position is cofunded by the private company iPOOL Srl, operating in the field of Acoustic Noise, where [&hellip;]<\/p>\n","protected":false},"author":174,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[23,21],"tags":[],"class_list":["post-185","post","type-post","status-publish","format-standard","hentry","category-fellowship","category-jobs"],"acf":[],"featured_image_src":null,"author_info":{"display_name":"Francesco Fidecaro","author_link":"https:\/\/people.unipi.it\/francesco_fidecaro\/author\/a008128\/"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Two year term Research Associate position in Artificial Intelligence applied to Acoustic noise - Francesco Fidecaro<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/people.unipi.it\/francesco_fidecaro\/two-year-term-research-associate-position-in-artificial-intelligence-applied-to-acoustic-noise\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Two year term Research Associate position in Artificial Intelligence applied to Acoustic noise - Francesco Fidecaro\" \/>\n<meta property=\"og:description\" content=\"GPU based development of supervised and supervised methods for the identification of acoustic noise sources using continuous recording of single audio channels; application to port noise using an Acoustic Camera with 1 video and 112 audio channels. 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