Upgrade and Optimization of Machine learning-based pipelines for Ramp-up estimation and enhancement of recommendation engine
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pOrganisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 9 Dec 2026
- 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No /ph3Offer Description /h3pThe research program involves the upgrade of machine learning-based pipeline, which are aimed at the estimation of ramp-up duration in indoor environments, implementing sliding window-training scheme, along with the optimization of the size of the training window. The latter task also includes introducing a safety margin considering the offered estimation accuracy of the developed pipelines. The research program also involves implementation and improvement of a recommendation engine aimed at suggesting the optimal hours of the the operation of the centralized cooling systems (e.g. chiller) and that of supply units (e.g. fan-coils) in individual indoor spaces. /ppOral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 40 points) /ppRelevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 10 points) /ppRelevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 40 points) /ppRelevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 10 points) /pulliEUROPE /li /ulpbEligibility of fellows: country/ies of residence: /b /pulliAll /li /ulpbEligibility of fellows: nationality/ies: /b /p #J-18808-Ljbffr
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Smart working, Smart working, Italia Italian Ministry of Education, University and Research Tempo pienopOrganisation/Company Politecnico di Milano Research Field Information science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 9 Dec 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU...
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