.Organisation/Company Instituto ENERGAIADepartment Instituto ENERGAIAResearch Field Engineering » OtherResearcher Profile First Stage Researcher (R1)Positions PhD PositionsCountry SpainApplication Deadline 30 Nov 2024 - 12:59 (Europe/Madrid)Type of Contract TemporaryJob Status Full-timeHours Per Week 40Offer Starting Date 1 Nov 2024Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie CurieIs the Job related to staff position within a Research Infrastructure? NoOffer Description TWEED ProjectTWEED is looking for 12 talented and motivated Doctoral Candidates (DCs) to advance the field of digitalisation within the wind energy sector.The "Training Wind Energy Experts on Digitalisation (TWEED)" Doctoral Network (DN) aims to train the next generation of excellent researchers equipped with the skills to develop high-impact careers in wind energy digitalisation.Co-funded by the European Commission through the Horizon Europe Marie Sklodowska Curie Doctoral Networks Programme, the TWEED network offers 12 Doctoral Candidates (DCs) positions to provide high-level training in Wind Energy Data Science and Digitalisation.DCs will participate in a unique training programme that combines hands-on research training, interactive schools, hackathons, innovation management, and placements with industry partners. The research programme includes the development of a Wind Energy Data Science Hub to foster collaboration and data sharing.DCs are expected to i) conduct high-quality, original academic research in Wind Energy, Digitalisation, Data Science, and Computer Science, ii) participate in planned training-dissemination activities, iii) collaborate with fellow researchers to promote the network's objectives.Two DC positions are available at Instituto ENERGAIA, University of Zaragoza (UNIZAR) within the TWEED project:Internal code of the position: DC5Host Institution: Institute ENERGAIA, UNIZARBrief description of the project: This project will analyze European balancing markets and develop a framework for bidding strategies for wind farms. It will utilize machine learning and probabilistic techniques to maximize benefits and reduce risks.Internal code of the position: DC8Host Institution: Institute ENERGAIA, UNIZARBrief description of the project: This project will develop a prognosis tool for preventive maintenance of wind turbines using explainable machine learning techniques.Where to apply E-mail ****** Research Field Engineering » OtherEducation Level Master Degree or equivalentSkills/QualificationsProficient in English.Master's degree or equivalent obtained by the time of appointment.Specific RequirementsA master or equivalent degree in Engineering.A strong background in wind energy is a plus.Excellent programming skills.Excellent writing and communication skills in English.Ability to work in a multi-cultural team and independently