Jobs

Here you will find job advertisements from the wind energy sector. Please use the input form to publish job advertisements.

10/11/19
PhD Researcher on Lidar wind measurements of intra wind farm wake dynamics
Organization:
ForWind – Center for Wind Energy Research, University of Oldenburg
Location:
Oldenburg, Germay
Application deadline:
10/11/19
Application link:
At the research group Wind Energy Systems, ForWind – Center for Wind Energy Research, Institute of Physics of the Carl von Ossietzky University of Oldenburg, there is a vacant position starting on 1 January 2019 (preferably) and latest on 1 April 2020

Early Stage Researcher – PhD position (m/f/d)
Within the Marie Sklodowska-Curie Innovative Training Network LIdar Knowledge Europe (LIKE) the focus will be on
Lidar wind measurements of intra wind farm wake dynamics
Wakes inside and behind a wind farm have a large effect on the wind resource available to downstream wind turbines and other plants in a wind farm cluster. Lidar technology has evolved significantly in the last decade. Commercially available systems are now able to resolve wakes with high temporal and spatial resolution over distances of 10 kilometres and more. Besides, wake dynamics caused by large-scale turbulent structures and transient wind conditions like directional changes can be investigated by ground-, platform-, or nacelle-based measurement setups. Data fusion from different sensors, e.g. multiple lidars or information from lidar, meteorological towers and operational wind farm data, is gaining more importance for both scientific validation of wake models and industrial applications. Examples for the latter include very short-term power forecasting, wind farm control for improved grid integration, resource assessment in the vicinity of existing wind farms and quantification of wind farm cluster power losses.
To improve the detailed characterisation of wakes, especially in new wind farms equipped with turbines using very large rotor diameters, the Early Stage Researcher (ESR) is expected to develop an own approach to enhance the accuracy of long-range measurements. Beside practical aspects like the pointing accuracy over long distances and disturbances by the dynamic inclination of the measurement platform, this can address methodological developments like data filtering and recovery as well as wind field reconstruction and wake modelling. Among others, the ESR will be in direct exchange with an extensive measurement campaign with long-range lidar(s) in an offshore wind farm cluster.
Secondments within the PhD project, i.e. research stays of 4-6 months duration each, are planned at Siemens Gamesa and TNO (The Netherlands).

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 its translation into industrial applications. Doppler Lidars (light detection and ranging) that measured the wind in the atmosphere remotely have reduced in price and increased reliability over the last decade mainly driven 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 individual 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 world-leading 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.

Research environment at ForWind – University of Oldenburg
Wind energy research at the Carl von Ossietzky University of Oldenburg has gained international recognition by its integration into ForWind – Center for Wind Energy Research of the Universities of Oldenburg, Hanover and Bremen and into the national Wind Energy Research Alliance of German Aerospace Center, Fraunhofer Institute for Wind Energy Systems and ForWind. At Oldenburg international researchers from the fields of physics, meteorology, oceanography and engineering are collaborating at the «Research Laboratory for Turbulence and Wind Energy Systems» centred on wind physics. Laboratory experiments, free-field measurements and high-fidelity numerical simulations are utilized for the description and modelling of wind turbulence, the analysis of interactions of turbulence and wind energy systems and the design of wind turbine and wind farm control. State-of-the-art facilities include three turbulent wind tunnels, sensing equipment for free-field measurements at on- and offshore wind farms and an own high performance computing cluster. Two multi-lidar systems each equipped with three scanning lidars are of particular importance for the present project.

Job requirements and eligibility criteria
Candidates should have a qualified master's degree in Engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Wind Energy, Remote Sensing or similar.
The successful candidate is required to have:
  • profound knowledge of at least two of the following three fields: experimental or computational fluid dynamics, statistical data analysis of large data amounts, measurement techniques;
  • experience in programming with at least Matlab or Phyton;
  • ability to work in an international and interdisciplinary project team and take responsibility for own research goals;
  • high motivation and ability to work on a complex research topic;
  • fluency in communicating and reporting in English.

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.


Salary and contract
The salary according to the German public service salary scale TV-L E13 (100%) is identical to the one of a full-time research assistant. For additional information see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf The period of employment is 3 years. The early stage researcher has to be enrolled for PhD at the Faculty of Mathematics and Science subject to academic approval.

Applications
Applications should be referenced #EAWE54 - ITN LIKE and must be submitted by email as one PDF file containing all materials in English to be given consideration no later than 31 October 2019 (local time) to

Carl von Ossietzky University of Oldenburg
Institute of Physics
ForWind – Center for Wind Energy Research
Research Group Wind Energy Systems
Prof. Dr. Martin Kühn
Küpkersweg 70, 26129 Oldenburg, Germany
Phone +49 441 798 5061
Email wesys.bewerbungen@forwind.de

The pdf file must include:
  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • References
  • 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.)

A second PDF file containing the final thesis of the studies or relevant research papers (if available) is an optional attachment.

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.

Contact
Further information is available from the above-mentioned contact as well as at www.msca-like.eu and www.forwind.de.
13/11/19
Early Stage Researcher / PhD Position (f/m) focusing on Floating Lidar For the EU funded Project »Lidar Knowledge Europe (LIKE)«
Organization:
Fraunhofer Institute for Wind Energy Systems IWES
Location:
Bremerhaven, Germany
Application deadline:
13/11/19
Application link:
The duties awaiting you …
Fraunhofer IWES, as partner in the »LIKE« consortium, provides a PhD position for the project »Combination of floating lidar measurements with numerical modelling for an integrated offshore wind resource assessment« (ESR 4). The overall research objective of the PhD project is to investigate how floating lidar technology, installed on a frequently running ferry connection, should be applied in an optimal way to assess wind energy relevant offshore wind resources and site conditions, both in combination with mesoscale flow modelling and the use of satellite remote sensing data. Amongst other things, this includes the definition of the optimal lidar setup and configuration for this type of application, an integrated data concept considering the different data sources, a methodology for an optimal combination of different data sources, and a comprehensive uncertainty assessment.

Bored? Not here!
Your day-to-day work is very varied as you will combine high-level research with industry relevant applications. You will have your position at Fraunhofer IWES but also be part of a European network of young researchers including trainings and research stays at different institutions – in particular, you will have three secondments of 2 - 3 months each at the University Bergen (Norway), the University Oldenburg (Germany) and DTU Wind Energy (Denmark).

You have a master’s degree or diploma in Engineering or a scientific discipline?
Your focus lies in Meteorology, Physical Sciences, Mathematics, Engineering, or a similar field? During your studies you have already obtained knowledge in energy meteorology or wind physics? Besides, you also have skills on remote sensing, as well as the analysis of measurement and simulation data? We will be delighted if you can impart your skills here right from day one and develop them further. You will present your results to your team, our customers, and the academic community. This is not a problem for you in both written and spoken English.

More details about the program …
This position is funded by the Marie Sklodowska Curie program (Horizon 2020) »LIKE«, for details: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions
For participation in the program, you are not allowed to have more than 4 years of equivalent research experience (after obtaining your master’s degree) and you have not been awarded a title of PhD. Furthermore, you are not a resident of Germany or carried out work in Germany for more than 12 months in the last 3 years. You fulfill these criteria? Great! Your project should start between January 1st, 2020 and April 1st , 2020 and has a duration of 36 months. Further information can be found here: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions

Additional information …
Under the rules of the scheme European and international applications are welcomed, subject to the German Border Agency regulations on the Right to Work in Germany. Usually nationals and/or residents of Germany are excluded from the scheme; however this can be checked by referring to the current program details. For further information about salary calculation, the requisites for family allowance and more details on the employment conditions, please see also the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

Approval and enrollment.
The scholarship for the PhD degree is subject to academic approval. The candidate will be enrolled at the Institute of Physics of the University of Oldenburg.

Terms of contract according to European Commission's Marie Curie fellowship scheme.
The working time consists of 39 hours per week.
The position is limited to 3 years.
In case of identical qualifications preference will be given to severely disabled candidates.
We would like to point out that the chosen job title also includes the third gender.
The Fraunhofer-Gesellschaft emphasises gender-independent professional equality.

Please click here to find the complete job advertisement: http://s.fhg.de/PBY
14/11/19
Scholarship to carry out PhD studies in the Wind Energy sector (O&M)
Organization:
Renewable Energy Research Institute, Universidad de Castilla-La Mancha
Location:
Albacete, SPAIN
Application deadline:
14/11/19
Application link:
We are looking for a candidate for FPU scholarship to carry out PhD studies in the Wind Energy sector. The candidate, if selected, will join a group of young researchers from the Renewable Energy Research Institute of the University of Castilla – La Mancha (Albacete, Spain). The PhD student would focus on the operation and maintenance of wind farms, optimization of maintenance strategies, predictive techniques, condition monitoring, etc. Interested candidates please send an email to Emilio Gómez Lázaro (emilio.gomez@uclm.es) with a CV, academic grades obtained (minimum degree grade 8 out of 10), and five lines of motivation. It is required to be currently enrolled in the second year of a Master’s Degree or to be in possession of the Master's Degree (obtained from 2016 onwards). For more information:

http://www.educacionyfp.gob.es/servicios-al-ciudadano/catalogo/general/99/998758/ficha/998758-2019.html.

https://ier.uclm.es/global/promotores/otros/instituto-energias-renovables/novedades_eolica/fpu_ier_eolica_19?sc_lang=en
29/11/19
Professor (with special responsibilities) in Aeroelasticity and Dynamics of Wind Turbines
Organization:
DTU - Technical University of Denmark
Location:
Lyngby, Denmark
Application deadline:
29/11/19
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.

Qualifications

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.

Assessment

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, katdyk@dtu.dk or Head of Department, Peter Hauge Madsen,+45 4677 5001, npha@dtu.dk

You can read more about DTU Wind Energy at http://www.vindenergi.dtu.dk/

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. http://orcid.org)
  • 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.

01/12/19
Improve wind lidars for wind energy
Organization:
Technical University of Denmark
Location:
Roskilde/Copenhagen, Denmark
Application deadline:
01/12/19
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 www.msca-like.eu

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 www.vindenergi.dtu.dk 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.

Qualifications
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.

Assessment
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: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

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, jmsq@dtu.dk, +45 2136 2962.

You can read more about DTU Wind Energy on www.vindenergi.dtu.dk/english.

Application
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.
31/01/20
PhD position on signal processing and AI for condition monitoring of wind turbine drivetrains
Organization:
Vrije Universiteit Brussel
Location:
Brussels, Belgium
Application deadline:
31/01/20
Application link:
Supervisors:
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 jan.helsen@vub.be ; cedric.peeters@vub.be

How to apply
All applications should be made through e-mail (jan.helsen@vub.be)