BEMÆRK: Ansøgningsfristen er overskredet
Would you like to become part of the solution towards green energy transition, by helping develop the tools and methods for data driven approaches? The Structural Integrity and Load assessment (SIL) section at DTU Wind and Energy Systems is inviting candidates to apply for a PhD scholarship in Risk-based technology qualification and life cycle cost modelling considering both onshore, bottom-fixed, and floating offshore wind turbines.
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. We develop talent by offering a career mentor, state-of-the-art research infrastructure, and postgraduate teacher training.
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 PhD student, you are expected to leverage your expertise in these domains to drive innovative research activities within the wind energy sector. Your role centers on developing and applying risk-based concepts for the development of new technologies.
This entails developing cutting-edge frameworks that can carefully advance technologies within the technology readiness levels. These frameworks aim to ensure reduced development costs and faster market uptake. This project is aligned with the DTU (Technical University of Denmark) TotalEnergies Excellence Center for Clean Energy (DTEC) funded project on Technology qualification of large Wind Turbine Generators (WTGs).
Your primary responsibilities will be:
- Model Uncertainty Quantification and Propagation for the Model Chain for Large Rotor Design: You will be responsible for developing and refining methodologies to accurately quantify and propagate uncertainties throughout the modeling chain for large rotor designs in wind turbines. This involves integrating statistical analysis, probabilistic modeling, and simulation techniques to assess and mitigate risks associated with model inaccuracies. You will collaborate with design teams to ensure that the rotor design models are robust, reliable, and capable of handling a wide range of operational scenarios.
- Development of a Risk-based Lifecycle Cost Modelling Tool: You will develop a sophisticated lifecycle cost modeling tool that incorporates risk assessments to provide a comprehensive financial analysis of wind turbine projects. This tool will enable the evaluation of various cost factors such as initial investment, maintenance, operational expenses, and end-of-life decommissioning, under different risk scenarios. Your work will involve close interaction with financial analysts and project managers to ensure that the tool is aligned with industry standards and meets the specific needs of diverse wind energy projects.
- Development and Application of a Procedure for Technology Qualification – Definition and Demonstration on a Use Case: You will focus on establishing a systematic procedure for technology qualification. This involves defining rigorous testing and validation protocols to ensure that new technologies meet the required standards of safety, reliability, and efficiency. You will apply this procedure to a specific use case, demonstrating its effectiveness in qualifying new technologies for practical application. Your role will also include documenting the process, highlighting key findings, and providing recommendations for technology qualification in future projects.
The following qualifications will be beneficial:
Essential/desired qualifications:
- Educational Background: Candidates should possess a degree in mechanical, electrical, or systems engineering, preferably with postgraduate qualifications. A strong emphasis on technology development in the context of energy systems is essential. The ideal candidate will have experience or specialized training in risk-based approaches, demonstrating an understanding of how these methods can be applied to enhance the safety, efficiency, and sustainability of energy systems. Familiarity with wind energy technology and its unique challenges is highly desirable.
- Numerical Model Development: The role requires proficiency in developing complex numerical models and decision support frameworks. Candidates should have a strong background in modeling techniques used for uncertainty quantification and reliability analysis, specifically pertaining to wind turbine components and systems. Experience in designing models that are both accurate and computationally efficient is vital. The ability to innovate and adapt existing modeling frameworks to new challenges in the wind energy sector will be a key aspect of this role.
- Scientific Programming: Applicants must have strong programming skills in scientific computing languages such as Python, MATLAB, or C. Demonstrated experience in using these skills for energy-related applications is crucial. Candidates should be capable of developing custom code and algorithms to solve complex problems in energy systems engineering. The ability to integrate programming skills with numerical modeling, data analysis, and simulation tasks is essential for this role.
- Knowledge in Machine Learning/Surrogate Modeling/Data Analytics and Risk-Based Methods: While not a primary requirement, some knowledge of machine learning, surrogate modeling, data analytics, and risk-based methods will be beneficial. Familiarity with these concepts and their application in the context of energy systems will be advantageous. Candidates with the ability to apply these advanced analytical techniques to enhance the design, operation, and maintenance of wind turbines and other renewable energy systems will be highly regarded.
You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
.
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 appointment terms
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. The period of employment is 3 years.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Further information may be obtained from Professor Athanasios Kolios, Head of Division, atko@dtu.dk
.
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 . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 16 February 2024 (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:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
You may apply prior to obtaining your master's degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, 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.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Roskilde Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
DTU-RISØ, Frederiksborgvej, 4000 Roskilde
-Ansøgning:
Ansøgningsfrist: 16-02-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5979700
