Postdoc in Life Cycle Cost Modelling and Decision Making

Updated: 2 months ago
Job Type: FullTime
Deadline: 15 Dec 2023

Would you like to become part of the solution towards green energy transition, by helping develop the tools and methods for Life cycle performance modelling? The Structural Integrity and Load assessment (SIL) section at DTU Wind and Energy Systems is inviting candidates to apply for a Post doc Professor in Life Cycle Cost Modelling and Decision Making (depending on qualifications), considering both onshore, bottom-fixed, and floating offshore wind turbines.   

Responsibilities and qualifications

You will be part of the SIL team that works on: 

  • Risk, Reliability Engineering and RAM (reliability, availability, maintainability) analysis, 
  • Probabilistic design, assessment and uncertainty quantification, 
  • Data, Digitalisation, AI/ML and decision support systems (I.e cyber-physical systems), 
  • Materials and monitoring, 
  • Service life integrity assessment and end of life scenarios,
  • Project valuation and Life Cycle Cost modelling and
  • Wind farm-wide operational strategies.

Your primary responsibilities will be:

  • Data Analysis and Fusion: Collect, process, and analyze extensive datasets from operational wind farms, utilizing cutting-edge data fusion techniques and advanced analytics to extract maximum value from this wealth of information.
  • Multidisciplinary Decision Support Models: Develop multidisciplinary models and decision support frameworks capable of seamlessly integrating diverse criteria into the formulation of operation and maintenance strategies. This includes the incorporation of reliability-centered maintenance, risk-based inspection, and other state-of-the-art methodologies.
  • Techno-economic analysis: support the goal of sustainable energy that delivers maximum value to the society, through developing tools and methodologies for value assessment, considering multiple KPIs within cost, revenue and sustainability. 
  • Digital Twin Development: Take a lead role in developing or contributing to the development of digital twin models. These models facilitate life prediction and operational optimization of critical turbine structures and components, employing both physics-based and data-driven approaches to enhance performance.
  • Value of Information Assessment: Quantify the value of information derived from operational assets, allowing for the development of optimal operational management strategies that maximize efficiency and reliability.
  • Research Excellence: Publish your research findings in prestigious international journals and present your work at renowned international conferences.
  • Grant Application: Contribute to the formulation of grant applications for national and European calls to secure funding for cutting-edge research.
  • Academic Contribution: Actively participate in the academic community by teaching and supervising BSc and MSc students at DTU. You will also have the opportunity to support the supervision of PhD students within the department.

The following qualifications will be beneficial:

Essential qualifications:

  • Educational Background: A background in mechanical, civil, electrical or systems engineering with an emphasis on applied mathematics or systems modeling, particularly within the context of life cycle cost modeling and decision making for wind energy systems.
  • Asset Integrity Management Expertise: Direct experience and proficiency in developing asset integrity management strategies for structural and mechanical components within the wind energy sector. This expertise is essential for optimizing the lifetime assessment and cost reduction of wind turbine structures and major components.

Application procedure 

Your complete online application must be submitted no later than 15 December 2023 (23:59 Danish time)

To view the full announcement and to apply, click the 'Apply' button 



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