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Crea una Job Alert gratuita per control and optimization of drone-based airborne wind energy systems / cuneo

Control and optimization of drone-based airborne wind energy systems

Pubblicato il 16-10-2026 - Italian Ministry of Education, University and Research in Cuneo

Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 24 Oct 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 Offer Description The research activity consists of modeling, analysis, simulation, control design, optimization, and experimental testing of airborne wind energy systems, specifically consisting of a ground station connected by cable to a multicopter hybrid fixed-wing drone capable of vertical takeoff and landing. Teaching activities will focus on supporting instruction in courses related to automation. Third-mission activities will focus on the technology transfer of the research conducted.



Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the activity covered by the contract, as well as at assessing their knowledge of English and/or other languages relevant to the activities to be performed (up to 40 points) Relevance and pertinence of the enclosed publications to the activity covered by the contract (up to 20 points) Relevance and pertinence of previous research activities, previous collaborations to educational and third mission activities and work experience, if any, in relation to the activity covered by the contract (up to 20 points) Relevance and pertinence of their study programme to the activities covered by the contract (up to 20 points) * EUROPE Eligibility of fellows: country/ies of residence: * All Eligibility of fellows: nationality/ies: #J-18808-Ljbffr

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