PhD Position in Predictive Prognostics and Adaptive Load Control for Wind Turbine Blade Longevity and Efficiency Optimization
1 maand geleden
We are seeking a highly motivated and exceptional PhD candidate to join our research team at the Faculty of Aerospace Engineering, Delft University of Technology. The successful candidate will be part of the Intelligent Sustainable Prognostics (iSP) Group and will work on developing a self-learning, prognostics-based blade load control methodology.
Research ObjectivesThe PhD candidate will focus on developing an interpretable prognostic model along with an uncertainty management strategy to estimate the conditional reliability and Remaining Useful Life (RUL) of wind turbine blades. The candidate will also design a self-learning control algorithm that adjusts blade loading in real-time based on the predicted RUL, conditional reliability, and current health state to optimize energy output and reduce maintenance requirements.
RequirementsTo be eligible for this position, applicants must have a strong background in machine learning, stochastic modeling, and Bayesian statistics. Proficiency in programming languages such as Python, C, or R is also required. Excellent communication skills in English, both written and oral, are essential.
Eligibility CriteriaApplicants must not have been awarded a PhD. They must also not have resided or carried out their main activity in the Netherlands for more than 12 months within the last 3 years.
Conditions of EmploymentThe selected candidate will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5-year contract with an official go/no-go progress assessment within 15 months will be followed by an additional contract for the remaining 2.5 years, assuming everything goes well and performance requirements are met.
About TU DelftDelft University of Technology is a top international university combining science, engineering, and design. It delivers world-class results in education, research, and innovation to address challenges in the areas of energy, climate, mobility, health, and digital society.
About the Faculty of Aerospace EngineeringThe Faculty of Aerospace Engineering at Delft University of Technology is one of the world's most highly ranked research, education, and innovation communities devoted entirely to aerospace engineering. Our focal subjects include sustainable aerospace, big data and artificial intelligence, bio-inspired engineering, and smart instruments and systems.
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionThe Faculty of Aerospace Engineering at Delft University of Technology is seeking a highly motivated PhD researcher to work on a project focused on predictive prognostics and adaptive load control for wind turbine blade longevity and efficiency optimization. The project aims to develop a self-learning, prognostics-based blade load control...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob Description: TU Delft is seeking a highly motivated PhD candidate to join the Intelligent Sustainable Prognostics (iSP) Group for Operations & Maintenance, Department of Aerospace Structures and Materials. The successful candidate will work on developing a self-learning, prognostics-based blade load control methodology to maintain blade lifetime...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionAs a PhD researcher at TU Delft, you will be part of the Intelligent Sustainable Prognostics (iSP) Group, which focuses on developing innovative solutions for wind turbine blade health monitoring and load control. The project aims to reduce human involvement in decision-making and minimize the need for direct human interventions in operations...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionAs a PhD researcher at TU Delft, you will be part of the Intelligent Sustainable Prognostics (iSP) Group, which focuses on developing innovative solutions for wind turbine blade health monitoring and load control. The project aims to reduce human involvement in decision-making and minimize the need for direct human interventions in operations...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionTU Delft is seeking a highly motivated PhD candidate to join the Intelligent Sustainable Prognostics (iSP) Group at the Faculty of Aerospace Engineering. The successful candidate will work on developing a self-learning, prognostics-based blade load control methodology to maintain blade lifetime consumption at a target level, given a predefined...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionTU Delft is seeking a highly motivated PhD researcher to join the Intelligent Sustainable Prognostics (iSP) Group at the Faculty of Aerospace Engineering. The successful candidate will work on developing a self-learning, prognostics-based blade load control methodology to maintain blade lifetime consumption at a target level, given a...
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