Research Associate / PhD Student (f / m / d) - Development of methodologies for high fidelity digital twins targeting industry scale wind turbines

Research Associate / PhD Student (f / m / d) - Development of methodologies for high fidelity digital twins targeting industry scale wind turbines

23.01., Academic staff

The

The position addresses critical challenges faced by modern wind turbines operating under changing climate conditions, shifting wind patterns, and structural ageing. As turbines experience evolving loads, discrepancies arise between physical assets and their nominal digital designs, complicating accurate prediction of structural behavior and sustainable lifecycle management. This research aims to overcome these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and efficient digital twin frameworks for real-world wind turbines.

Position information :

• Application deadline : 30.04.
• Starting date : 01.09.
• Position type : full time
• Position duration : 3 years

Research Objectives

Expected Profile

Essential Qualifications

Desirable Skills

What We Offer

How to Apply

Please submit the following to with the subject "Application for COMBINE DC position"

Curriculum Vitae. Motivation letter describing your research interests and specific fit to the offered position. Relevant certificates and diplomas, transcript of records. Contact details of at least two references.

All the other positions offered by COMBINE can be found in Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.