Phd Researcher in Wind Energy Digitalization
Há 5 dias
We are seeking an exceptional PhD researcher to join our team at Annea, focusing on advanced operational and maintenance strategies for wind turbines. As a research fellow, you will develop innovative data-driven approaches to enhance turbine performance and reliability.
About the RoleThis 36-month employment contract offers a highly competitive salary, adapted to the living costs in each host country, with full social security benefits. The successful candidate will receive a financial package plus an additional mobility and family allowance according to the rules for Doctoral Candidates (DCs) in an EU Marie Sklodowska-Curie Actions Doctoral Networks: Please see Euraxess profile for additional information on benefits.
Responsibilities- Develop explainable frameworks for predictive maintenance using SCADA data
- Create digital twin frameworks that integrate real-time data for continuous health monitoring of wind turbines and their components
- Design and implement probabilistic models to assess turbine fatigue and predict their remaining operational lifespan
The ideal candidate must have a Master's degree or equivalent, excellent writing and communication skills in English, and proficiency in programming languages such as Python. Experience in computer science and/or data science is welcome.
BenefitsThis role offers a unique opportunity to work under a prestigious EU-funded project, with access to cutting-edge research facilities and collaborations with leading experts in the field. You will have the chance to develop a wide range of skills, including data analysis, machine learning, and digital twin technologies.
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