PhD position: Development of a high-fidelity digital twin for a novel pressure and acoustic measurement system for wind turbine blades
AeroSense seeks to appoint three highly motivated Ph.D. candidates at ETH Zurich in collaboration with the University of Applied Sciences Rapperswil (HSR). These positions offer an exciting opportunity to work with leading experts across the world in the area of wind energy, and is funded by the Innosuisse/SNF BRIDGE Discovery programme.
The scientific aim of AeroSense is to develop a first ever MEMS-based surface pressure and acoustic smart measurement system that is thin, non-intrusive, robust, modular, low power and self-sustaining, wirelessly transmitting, easy to install and cost-effective for wind turbines. A prototype will be tested in the wind tunnel and on full-size operating wind turbines in the field. The Advisory Board of the AeroSense project consists of leading academic institutions and companies from Switzerland, Germany, Denmark, The Netherlands and the USA.
This PhD position will primarily focus on the development of a wind turbine high-fidelity digital twin for coupling with a machine learning data analysis platform. This includes development of sensor correction and calibration methods via wind tunnel tests and analytical models, the implementation of Large Eddy Simulations of 2D blades and comparison to other methods, Large Eddy Simulations of full-size wind turbines, as well as the development of a generic digital twin platform, coupling with the machine learning data analysis platform and comparison to measurement data. This doctoral student position is financed for a minimum of three years with a starting date of April 1st, 2020. Primary advisor is Prof. E. Chatzi, (D-BAUG ETH Zurich), co-advisor is Dr. Sarah Barber (University of Applied Science Rapperswil). The work place will be in Rapperwil.
Applicants must hold a M.Sc. Diploma or equivalent in in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related ﬁelds, and be at the beginning of their research career. Principal qualifications include strong analytical and quantitative skills in Computational Fluid Dynamics, aerodynamics, programming, high-performance computing, as well as experience in wind energy, data analysis and modelling, and interest in laboratory-based experimentation and engineering applications. A solid knowledge of English and German is mandatory. We expect good interpersonal skills, the ability to thrive in a diverse, multidisciplinary environment, ability to present work in international conference, as well as the willingness to travel to the USA for a number of weeks for field measurements.
We look forward to receiving your online application including: a letter of motivation, a CV, electronic copies of your academic diplomas and certificates, and contact details for two referees. The applications will be reviewed starting February 1st, 2020 with the intent to conclude the search by the end of February, 2020. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
For further information please visit our website https://www.iet.hsr.ch/index.php?id=19191&L=0.