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Professor (with special responsibilities) in Aeroelasticity and Dynamics of Wind Turbines
DTU - Technical University of Denmark
Lyngby, Denmark
Application deadline:
Application link:

DTU Wind Energy invites applications for a position as Professor (with special responsibilities) in aeroelasticity and dynamics of wind turbines.

Our focus at DTU Wind Energy is the development of wind energy for the benefit of society, which we do through research, development, and education within the following programme areas: Siting and Integration, Wind turbine technology, Structures and materials, and Offshore wind energy. The department is an internationally leading university department in wind energy and cooperates with industry and institutions worldwide. We believe that cooperation between scientist and scientific disciplines and a balanced portfolio of research and innovation, education, and research-based advice and services is the best way to create value for society.

The professor will join the section for Wind Turbine Loads and Control (LAC) at the DTU Risø Campus in Roskilde. LAC focuses on modelling and analysis of loads and dynamics, aeroelastic stability, and control of wind turbines, and implements its research in software tools and in courses to the benefit of the wind energy community in general.

DTU Wind Energy has the strategic aim through this professorship to strengthen research in structural dynamics and computational mechanics with emphasis on applications to wind turbine technology aeroelasticity.

Secondary areas of interest include aeroelasticity coupling with hydrodynamics, aeroelastic stability and control, and structural reliability.

Responsibilities and tasks

The position covers research and teaching in structural dynamics and computational mechanics with particular emphasis on wind turbine technology. This research area includes:

  • Theoretical foundations in computational mechanics and structural dynamics
  • Linear and nonlinear dynamics applied to wind turbine concepts for land-based and offshore machines
  • Method development and modelling for aero-servo-hydro-elastic behaviour, aeroelastic stability, and structural reliability of wind turbines

The professor is furthermore expected to:

  • Attract national and international funding for research in aeroelasticity and dynamics
  • Publish and coordinate dissemination of research at a high international level
  • Strengthen the collaboration within the department and with other departments at DTU
  • Further develop the collaboration with national and international research institutes and industries
  • Supervise MSc and PhD students as well as postdocs
  • Develop and coordinate advanced university courses and in continued education programmes

The research field shares scientific methodologies with other departments at DTU. Thus, the professor should sustain and develop collaboration in research, education, and innovation with, e.g., the departments of mechanical engineering and applied mathematics and computer science.

The professor is expected to participate in teaching at the BSc, MSc, and PhD levels. For international candidates, DTU can provide Danish language courses enabling the candidates to teach in Danish within 2-3 years.


Candidates should have obtained well-documented international recognition within their research field, including a high level of original scientific production at international level, with the potential to contribute to further development of the scientific field. Emphasis will be on the ability to combine a high research level and publication activity with promotion of external cooperation and exploitation of the research results.

Furthermore, the applicant should document ability and experience to initiate, manage, and perform theoretical, computational, and experimental research structural dynamics, and computational mechanics with application to wind turbine dynamics and aero-servo-hydro-elasticity including developing and maintaining international research and innovation network.

The applicant should have a solid track record of acquiring national and international external funding and management of national and international research projects.

Finally, the applicant should have documented supervision and teaching skills at all university levels and for continued education.


In the assessment of the candidates, consideration will be given to:

  • Documented experience and quality of teaching and curriculum development
  • Research impact and experience, funding track record, and research vision
  • Societal impact
  • Documented innovation activities, including commercialization and collaboration with industry
  • International impact and experience
  • Leadership and collaboration
  • Communication skills
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 position is available for a 5-year period and may be extended for up to 3 additional years. At the end of the period, the employee in question will transfer to a position as associate professor at the university. More information can be found here: Career paths at DTU.

Further information

Further information may be obtained from Head of Section Katherine Dykes, +45 2179 9259, or Head of Department, Peter Hauge Madsen,+45 4677 5001,

You can read more about DTU Wind Energy at

Application procedure

Please submit your online application no later than 29 November 2019 (local time).

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

  • Application (cover letter) addressed to the President
  • CV
  • A vision for future research
  • Teaching and research statement, with a focus on the ‘Assessment’ bullet points listed above
  • Documentation of previous teaching and research, as related to the “Assessment” bullet points listed above
  • List of publications indicating scientific highlights
  • H-index, and ORCID (see e.g.
  • Diploma (MSc/PhD)

Applications and enclosures 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 is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies.

Improve wind lidars for wind energy
Technical University of Denmark
Roskilde/Copenhagen, Denmark
Application deadline:
Marie Sk?odowska-Curie Early Stage Researcher – PhD position
General information about the Lidar Knowledge Europe (LIKE) project

LIdar Knowledge Europe (LIKE) fosters training and education of young researchers on emerging laser-based wind measurement technologies and their translation into industrial applications. Doppler Lidars (light detection and ranging) that measure the wind in the atmosphere remotely have reduced in price and increased in reliability over the last decade mainly done by European universities and companies serving the growing wind energy industry. This opens the possibility for new applications in many areas. LIKE improves, tests and refines the technology thus expanding these areas of application. LIKE promotes wind energy applications such as wind resource mapping using scanning lidars and control of single wind turbines or entire wind farms in order to increase energy production and reduce mechanical loads. LIKE maps unusual atmospheric flow patterns over airports in real-time and thus improves the safety of landing aircrafts. LIKE explores wind and turbulence under extreme conditions at the sites of future European bridges paving the road for optimal bridge design. LIKE trains 15 ESRs to an outstanding level at European academic institutions and industrial companies, thus forming strong interdisciplinary relations between industry and technical sciences. These relations are implemented through employment of the ESRs at academia as well as industry, and through inter-sectoral secondments. Finally, translation of technology into specific applications is emphasised through the implementation of an entrepreneurship training course LIKE partners, particularly industry.
Further information on the Innovation Training Network Marie Sk?odowska-Curie Actions Lidar Knowledge Europe (LIKE) at

The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a PhD for the Section of Meteorology and Remote Sensing.

DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy.

Please look at for more details on the type of activities we undertake.

Responsibilities and tasks
Doppler lidars are increasingly being used in the wind energy industry to assess wind resources and measure the turbulent wind flow coming onto the wind turbine rotor. Soon, all wind turbines might be equipped with a Doppler lidar. The aim of the study is to improve the capabilities of lidars and prove the improvements by field experiments.

For the class of Doppler lidars called continuous-wave lidar, which can be made cheap and robust, the problem is that the measurement volume is quite large for long measurement distances. This hinders the lidar in measuring turbulence and it also makes the lidar susceptible to moving object in far from the intended measurement point. Both drawbacks are problematic for wind turbine applications. New optical components make it possible to deploy recently invented low-coherence methods that greatly compactifies the measurement volume. The applicant will understand the technology and possibly develop it further, implement it in existing scanning lidars, and test the capabilities of the technique thoroughly in the field.

Expected results
The following are the main expected outputs from this PhD study:

1) Understand and improve techniques to make the measurement volume of continuous-wave Doppler lidars more compact.
2) Implement the system in scanning lidar systems used for wind energy research
3) Document the advantages and disadvantages of the technology by field experiments.

Candidates should have a master's degree in physics, engineering or a similar degree.

The successful candidate is also required to have:
Documented background at the highest level in physics, optics, and mathematics.
Capabilities in data analysis and programming
Ability to work in a project team and take responsibility for own research goals
Fluency in communicating and reporting in English
In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics:
having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree);
having not been awarded a title of PhD;
having not resided or carried out her/his main activity in Denmark; for more than 12 months in the last 3 years.
The successful candidate must also fulfill the requirements for admission to a doctoral program at DTU.

The present PhD project will take advantage of collaboration with researchers at DTU, and laboratories or companies in Germany in the United States.

Starting Date: 1st January 2020 (preferable) and latest 1st April 2020.

Duration: 36 months.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

The assessment of the applicants will be made by Head of Section, Dr. Hans E. Jørgensen, Prof. Jakob Mann and Dr. Charlotte Hasager from DTU, and an employee from Metek GmbH, Germany.

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 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 with the relevant union. The period of employment is 3 years.

For more info about salary calculation, the requisites for Family allowance and more details on the employment conditions, please see the founding body rules:

The workplace will be DTU Wind Energy, Risø Campus in Roskilde. During the 3 years of employment, one stay at the meteorological instrument company Metek GmbH in Germany planned to be of 3 months duration will take place. Also one stay at an American research laboratory of 3 months duration is foreseen.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Supervisor of the present PhD project, Professor Jakob Mann,, +45 2136 2962.

You can read more about DTU Wind Energy on

Please submit your online application no later than 1 December 2019 (local time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in 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
Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
A 1-page research statement. Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position.
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
Early Stage Researcher (ESR) – PhD position (m/f/d)
University of Oldenburg / ForWind - Center for Wind Energy Research
Oldenburg, Germany
Application deadline:
Application link:
At the research group Turbulence, Wind energy and Stochastics (TWiSt) at the Institute of Physics at the University of Oldenburg and ForWind - Center for Wind Energy Research, is a vacant for an
Early Stage Researcher (ESR) – PhD position (m/f/d) (salary according to German TV-L E13, 100%)
starting between April 2020 (preferably) and October 2020 (the latest) for a period of three years.

The position is part of the EU Horizon 2020 MSCA Innovative Training Network (ITN) project FLOAting Wind Energy netwoRk, FLOAWER. Within this network project a total of 13 ESR positions are open at different institutes in Europe. For more details on the overall objectives and structure of this ITN, see

The scientific work at the University of Oldenburg (ERS10) focuses on Dynamics and interaction of floating turbines. Floating turbines interact with the incoming wind field as well as with the water waves resulting in additional complex motions of the turbines. These additional motions and their dynamics affect the performance of the turbines itself as well as the generated wakes and their development with increasing distance to the turbine. In wind farms these wakes represent the inflow for turbines located inside the farm and result again in additional dynamics which might lead to higher loads, fatigue loads and therefore higher failure rates and down times. A better understanding of these interactions and dynamics can be used to further develop models and control strategies, respectively.

In this PhD project this problem will be addressed by means of experimental investigations with model turbines, Steward platforms and an active grid in the new big wind tunnel in the WindLab at the University of Oldenburg. The model turbines have a diameter of 0.6m and are equipped with a control system for variable pitch and rotational speed. These wind turbines will be placed on a so-called Steward platform, which allows moving the turbine in 6 degrees of freedom mimicking the motion of a floating turbine. Additionally, an active grid allows generating turbulent inflow conditions showing comparable characteristics of atmospheric flows. With this high-end equipment and velocity measurement techniques like hot-hire, Laser Doppler Anemometry (LDA) and stereo high-speed particle image velocimetry (PIV) the effects on the turbine dynamics and the flow characteristics can be measured. This will be done for a single turbine as well as for two turbines in a tandem configuration. Data will be used to develop a stochastic description of the overall floating wind turbine system.

In the framework of this PhD project two secondments are planned each of 3 months duration - one at Politecnico di Milano and one at GICON.

Prerequisite is a qualifying university degree (diploma or master) in engineering, physics or an equivalent course of studies. Practical expertise in experimental measurement techniques, model turbines, optical measurement techniques like LDA and PIV as well as experience in LabView programming is desired. Experience with stochastic analysis and the programming tools "GNU R" and/or MatLab is of interest.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Full-time positions can be also turned into part-time ones.

In addition, the successful candidate should satisfy the following mandatory characteristics at the time of the recruitment:
• having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree);
• having not been awarded a title of PhD before;
• having not resided or carried out her/his main activity in Germany for more than 12 months in the last 3 years

Please apply for ESR10 through the on-line recruitment portal on the FLOAWER website
An on-line application is preferred. If on-line application is not possible, please send all application documents
via mail to:
Carl von Ossietzky University of Oldenburg
Institute of Physics
ForWind - Center for Wind Energy Research
Dr. Michael Hölling
Küpkersweg 70
26129 Oldenburg, Germany
Deadline for on-line and postal applications is December 31st 2019.
PhD position on signal processing and AI for condition monitoring of wind turbine drivetrains
Vrije Universiteit Brussel
Brussels, Belgium
Application deadline:
Application link:
Primary supervisor: Prof. Jan Helsen
Secondary supervisor: ir. Cédric Peeters

The team
The VUB Acoustics and Vibrations Research group and VUB AI-group work closely together in the field of machine monitoring. Novel signal processing and AI methods are developed specifically targeted at the prediction of failures and accurate assessment of their progression. In this context we work closely together with leading companies: Atlas Copco, BASF, ZF, …
The team has a core focus on wind energy in the context of OWI-lab. There we have ongoing research projects with MHIVOW, ZF Wind Power, Parkwind, … Our multi-disciplinary approach allows us to bring methodological advancements all the way to application in industry.

Full Project Detail
The process of tracking the health of machinery is commonly known as condition monitoring. Typically, it involves recording data, analyzing this data, and then inspecting the resulting indicators for potential significant changes that could be symptomatic of a defect. Incorporating condition monitoring in the Operations and Maintenance of a company opens the door for predictive maintenance. At VUB we can offer help to companies in this condition monitoring process by performing specialized data analysis of their machines. This can be through the use of vibrations, rotation speed, acoustics, or other sources of measurable information. All these measurements typically produce a lot of complex data, therefore we investigate new ways how we effectively and efficiently analyze this data to provide an as accurate as possible health summary of the machine. Next to data analysis, there is thus also a strong focus on big data processing, automation of the result interpretation using machine learning, and keeping up with the Internet of Things trend of increased sensorization and data acquisition.

PhD project description
The research focuses on developing new data analysis tools for condition monitoring of wind turbines and rotating machinery in general. The work will include implementing existing concepts in code, but also developing novel ideas for signal processing. There is a strong emphasis on bearing and gear monitoring. In addition to the development of novel methodologies for signal analysis, we also strive to deliver actionable information, relevant to the industry. Thanks to our strong connections with several industrial partners, we have the opportunity to work on interesting issues, but this means we also need to disseminate our results. Therefore, your work will go beyond the development of new methods and will also include expanding our data analysis platform with your new tools and combining your new tools with state-of-the-art machine learning approaches. The latter is accomplished by our collaboration with the Artificial Intelligence group of VUB.

We offer the opportunity to work in a very inspired, motivated and enjoyable research group that is looking to expand. The focus is also not purely on academic aspects thanks to our industrial collaborations. Therefore, you will inevitably also gain significant industrial experience and insight into how companies function and how to operate together with them. On top of the meaningful academic and industrial experience that you will gain, we encourage every PhD student to go and present their work at international conferences abroad.

Entry requirements
Applicants should preferably have:
  • Master degree in Mechanical, Electrical, or Mathematical engineering
  • A relevant Master’s degree and/or experience in one or more of the following will also be an advantage: wind turbine dynamics, signal processing, machine learning techniques, Bayesian statistics, ...
  • Background or interest in programming (Matlab, python, java, C/C++, …)
  • Proficiency in English is a plus
Interested candidates are recommended to apply as soon as possible.

Funding information
We offer an international open working environment stimulating personal development through international courses, many opportunities to attend and present at conferences abroad. Possibility to spend part of the research abroad. A generous competitive salary, public transport coverage and health insurance. The PhD normally lasts 4 years.

Contact details
Mail to ;

How to apply
All applications should be made through e-mail (
two-way meso–micro coupling for wind farm planning, forecasting and nowcasting
KU Leuven
Leuven, Belgium
Application deadline:
PhD Position on two-way meso–micro coupling for wind farm planning, forecasting and nowcasting

Promoter: J. Meyers

Contact: Prof. J. Meyers, Department of Mechanical Engineering, Celestijnenlaan 300A, B3001 Leuven, Belgium. T: +32(0)16 322502.
Google Scholar

Apply using the KU Leuven online application platform. (Applications by email are not considered!)

This PhD position is part of the FREEWIND project (Development of a Fast REsourcE planning and forecasting platform for the Belgian offshore WIND zones), financed by the Flemish Energy Transition Fund, which aims to encourage and support energy research and development supporting the transition to a carbon-neutral society. The project team consists of nine researchers and supporting staff. Three PhD students will be recruited at the start of the project and work full time for four years (the current position is one of them). A data scientist and ICT engineer, will work part time on the project. The project is closely aligned with another funded project on two-way meso–micro coupling for wind farm optimization and design, carried out by two PhD students at KU Leuven. The project is led by Prof. Johan Meyers (Turbulent Flow Simulation and Optimization (TFSO) research group; department of Mechanical Engineering) and Prof. Nicole van Lipzig (Regional Climate Studies (RCS) research group; department of Earth and Environmental Sciences). Within the TFSO and RCS group there is ample of expertise on the modelling tools needed for the FREEWIND project. The current PhD position will be supervised by Prof. J. Meyers and co-supervised by Prof. N. van Lipzig.


Offshore wind energy plays a central role in Europe’s transition to a carbon-free energy system. In Europe, numerous offshore wind zones surpass 1GW in capacity, several of which are under construction. At these sizes, wind farms interact with the atmospheric boundary layer and the local meso-scale weather system. Only very recently, the importance of these effects for wind-farm operation have been recognized. For instance for the combined Belgian–Dutch offshore cluster, the effect of wind-farm induced gravity-wave systems on the overall Annual Energy Production can be up to 6% (less production), and up to 30% on hourly production. Two-way interaction with other meso-scale systems, such as land–sea breeze or convection cells may also be important, but this has not yet been investigated to date. These effects are not included in current windfarm planning and forecasting tools. The FREEWIND project aims at developing a planning and forecasting platform that includes mesoscale feedback. A central case study will be centered around Belgian’s offshore wind zones. The platform is made available open-source through a dedicated web interface that allows for online scenario analysis.


Research: To date, the main engineering paradigm with respect to the wind resource is a one-way approach, in which wind turbines are considered too small to affect the local wind climate. Current engineering tools for wind-farm planning are based on this approach. The development and open availability of fast models that include two-way coupling will be paramount for the efficient development and future exploitation of Europe’s large offshore wind farms. For this reason, KU Leuven developed an atmospheric perturbation model (Allaerts & Meyers, JFM 2019). The PhD will work on extending this model to take into account nonhomogeneous conditions, and baroclinic conditions. Moreover, a dynamical version of the model will be developed. The micro-scale model SP-Wind, a Large-Eddy Simulation code developed at KU Leuven, will be used to obtain highly detailed datasets for the development and validation of the atmospheric perturbation model. To this end, the current version of SP-Wind, will be slightly extended to include shallow boundary layers and effects of baroclinicity in the free atmosphere. The ultimate goal of this PhD is to develop and validate an engineering model for the planning (5 years to 20 years), forecasting (1 day to 7 days) and nowcasting (30 min to 1 day) ranges thereby including two-way coupling on all these timescales.

Timeline and remuneration: Ideal start time is March 1st 2020, but earlier and later starting dates can be negotiated. The PhD position lasts for the duration of four years, and is carried out at the University of Leuven. During this time, the candidate also takes up a limited amount (approx. 10% of the time) of teaching activities. The remuneration is generous and is in line with the standard KU Leuven rates. It consists of a net monthly salary of about 2000 Euro (in case of dependent children or spouse, the amount can be somewhat higher).


Candidates have a master degree in one of the following or related fields: fluid mechanics, aerospace or mathematical engineering, numerical mathematics, or computational physics. They should have a good background or interest in fluid mechanics, simulation, optimization, and programming (Fortran, C/C++, MATLAB, Python, …). Proficiency in English is a requirement. The position adheres to the European policy of balanced ethnicity, age and gender. Both men and women are encouraged to apply.


To apply, use the KU Leuven online application platform (applications by email are not considered) Please include:
a) an academic CV and a PDF of your diplomas and transcript of course work and grades
b) a statement of research interests and career goals, indicating why you are interested in this position
c) a sample of technical writing, e.g. a paper with you as main author, or your bachelor or master thesis
d) two recommendation letters

d) a list of possible additional references (different from recommendation letters): names, phone numbers, and email addresses
e) some proof of proficiency in English (e.g. language test results from TOEFL, IELTS, CAE, or CPE)

Please send your application as soon as possible and before May 31st, 2020 at the latest.
Decision: when a suitable candidate applies.
Starting date: candidates can start immediately. Start preferable Spring 2020.