DTU Tenure Track Assistant Professor/Researcher in Uncertainty Quantification and Reliability Analysis at Technical University of Denmark

Would you like to become part of the solution towards green energy transition, by helping develop the tools and methods for uncertainty quantification and reliability analysis? The Structural Integrity and Load assessment (SIL) section at DTU Wind and Energy Systems is inviting candidates to apply for a Researcher/Assistant Professor in Uncertainty Quantification and Reliability Analysis (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:

• Uncertainty Modelling: Develop mathematical and computational models that explicitly represent uncertainties within wind energy systems, providing a structured framework for simulations and analyses.
• Uncertainty Quantification: Employ advanced statistical and computational techniques, such as statistical inference, Machine Learning, sensitivity analysis, Monte Carlo simulations and Bayesian methods, quantify, propagate and analyze uncertainties, ensuring robust and reliable assessments in structural integrity and load predictions for wind turbine components and operations.
• Surrogate Modelling: Utilize surrogate modelling techniques to efficiently approximate complex engineering simulations, reducing computational overhead while maintaining high-fidelity results.
• Structural Reliability Analysis: Conduct reliability analyses to assess the structural robustness of wind turbine components and systems, ensuring the highest levels of performance and safety in the face of varying conditions and uncertainties.
• Design Optimization Expertise: Work with design optimization techniques, including mathematical modeling, simulation-based optimization, and multi-objective optimization, to enhance the performance and reliability of wind turbine structures and components while considering uncertainty factors.
• 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, or electrical engineering with a strong focus on applied mathematics or structural response modelling, within the realm of uncertainty quantification and reliability analysis for wind energy systems.
• Experience in Uncertainty Quantification and Reliability Analysis: Direct experience in uncertainty quantification techniques and reliability analysis methodologies, with a focus on wind turbine components and systems.
• Numerical Model Development: Proficiency in developing numerical models and decision support frameworks specifically tailored to the uncertainty quantification and reliability analysis of wind turbine components and systems.
• Scientific Programming: Strong programming skills in scientific languages such as Python, MATLAB, or C, with a demonstrated ability to apply these skills to develop models and conduct analysis related to uncertainty and reliability in wind energy systems.

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