Postdoc in Life Cycle Cost Modelling and Decision Making - DTU Wind

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Postdoc in Life Cycle Cost Modelling and Decision Making - DTU Wind
Roskilde, Denmark
Job Description

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​.

As a Life Cycle Cost Modeling and Decision Making Specialist, you are expected to bring a solid foundation in the development of asset integrity management strategies for structural and mechanical components within the wind energy sector. Your role assumes a leadership position in research activities aimed at enhancing lifetime assessment and achieving cost reduction for wind turbine structures and major components.

This role requires the development of advanced numerical models, the integration of monitoring data, the establishment of key performance indicators (KPIs), techno-economic analysis, and the creation of integrated decision support systems that contribute to the development of autonomous cyber-physical systems. This is done in collaboration with the section and the department, in national, EU and industry sponsored projects. Indicative projects include the EU-funded TWAIN and TailWind. 

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.
  • Scientific Modeling Skills: Proficiency in developing advanced numerical and analytical models tailored to support life cycle cost modeling, including the integration of monitoring data and the creation of decision support systems for wind energy systems.
  • Data Analysis and Fusion: Strong data analysis skills, including the ability to collect, process, and analyze complex datasets from operational wind farms. Proficiency in data fusion techniques and advanced analytics is critical for extracting valuable insights.
  • Scientific Programming: Strong programming skills in scientific languages such as Python, MATLAB, or C, with a demonstrated ability to apply these skills to develop machine learning and AI models and conduct analyses relevant to wind energy systems.

Desired qualifications: 

  • Key Performance Indicator (KPI) Development: Experience in establishing and utilizing KPIs for assessing the performance and integrity of wind turbine components, which enhances decision-making processes and supports the development of autonomous cyber-physical systems.
  • Digital Twin Expertise: Proficiency in developing or contributing to the development of digital twin models, leveraging physics-based or data-driven approaches. This expertise enables life prediction and operational optimization of critical turbine structures and components.
  • Decision Support System Development: Demonstrated ability to create integrated decision support systems that aid in the formulation of operation and maintenance strategies. This includes expertise in optimizing maintenance approaches, such as reliability-centered maintenance and risk-based inspection.
  • Research Proposal Development: Proven track record in formulating persuasive research proposals tailored to life cycle cost modeling and decision making within the wind energy sector. This includes a demonstrated ability to secure research funding and drive successful grant applications.

As a formal qualification, you must hold a PhD degree (or equivalent). 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

Salary and terms of employment 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

Starting date is 1 February 2024 ( or according to agreement ). The position is a full-time position. The position is for 2 years but there are further career opportunities after the initial contract based on performance.

You can read more about career paths at DTU here .

Further information 
Further information may be obtained from Professor Athanasios Kolios, Head of Division, [email protected] .

You can read more about DTU Wind and Energy Systems  at www.windenergy.dtu.dk/English  

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .

Application procedure 
Your complete online application must be submitted no later than 30 December 2023 (23:59 Danish time)

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • CV
  • Academic Diplomas (MSc/PhD – in English)
  • List of publications 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Wind and Energy Systems is one of the largest and most well-known university department for wind energy in the world with 400 employees. The institute is in the international driving field with a unique integration of research, education, innovation and public / private government service. DTU Wind and Energy Systems has extensive expertise in wind turbine technology, focusing on the impact of loads, structural design and reliability, aeroelastic design and materials.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.


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Job Info
  • Job Identification 2756
  • Job Category VIP B
  • Posting Date 12/18/2023, 03:44 AM
  • Apply Before 12/30/2023, 05:59 PM
  • Locations Frederiksborgvej 399, Roskilde, 4000, DK

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