Jobs

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

30/06/20
Early-Stage-Researcher in the EU Horizon 2020 MSCA ITN project FLOAWER: lidar- based wind energy resource assessment of floating wind
Organization:
University of Stuttgart
Location:
Stuttgart, Germany
Application deadline:
30/06/20
About the Institute
Stuttgart Wind Energy (SWE) is part of the Institute of Aircraft Design and a dedicated wind energy institute since 2004. Our research focus includes wind measurement technology, energy forecasting, sound emission estimation, design and modelling of floating systems, electromechanical interactions, control and simulation of on-/offshore turbines and farms. SWE is internationally well known for pioneering work in the area of wind lidar for wind energy applications. As a team, we are continuously looking for new ways to better understand the wind by developing new lidar hardware and models. We explore new applications and look for opportunities to apply the results of the research to wind energy. In our projects, we collaborate with a wide range of national and international partners.

About FLOAWER
FLOAWER is the EU-funded “FLOAting Wind Energy netwoRk”. Within FLOAWER interdisciplinary training will be provided to 13 Early Stage Researchers (ESR) in different research fields related to floating wind energy. Participating in FLOAWER gives you a unique chance to become part of an international research team. You can find more information about the FLOAWER project on: http://www.floawer-h2020.eu
Job Description
During your ESR you will use different methods to assess and analyze wind conditions offshore with remote sensing devices installed on floating structures. Two secondments of 3 months duration at the premises of IWES Fraunhofer (Germany) and IDEOL (France) will be included in this ESR position.

You will contribute to tasks such as:
• General study of advantages and disadvantages of different possibilities to measure wind conditions offshore with floating structures
• Analytical comparison of different methods to measure wind conditions with a LiDAR from different floating platforms and positions (e.g. floating LiDAR, nacelle-based, transition piece based, floater based) for wind resource assessment and power curve determination
• Development of new and extension of existing simulation environments for LiDAR measurements on floating structures performing wind field reconstruction
• Verification of the simulation environment with real measurement data
• Assessment of the uncertainties of LiDAR measurements on different floating structures

You can find more detailed information regarding this position and the job conditions on: https://euraxess.ec.europa.eu/jobs/509418.

Candidate’s Profile
We are looking for a candidate with great interest in scientific research, motivation to work in international projects, the enthusiasm to push technological boundaries and explore new terrain with the support of their colleagues at SWE and in the FLOAWER project. Candidates are required to have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Computational Science or similar.

You should have:
• Motivation to dive into challenging research questions.
• Capability to work both independently and cooperate in a team.
• Strong focus on creativity, proactivity, positive solutions, and perseverance for scientific work.
• Excellent communication skills in spoken and written English.

You would benefit from having:
• Basic experience in the use of wind lidar and wind measurements in general.
• Basic knowledge of wind energy.
• Experience with field measurements and data analysis.
• Some knowledge of the German language.

In addition, you 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 PhD degree.
• Having not resided or carried out your main activity in Germany for more than 12 months in the last 3 years.

What we offer
• A pleasant working atmosphere in an internationally recognized, dynamic, mixed and motivated team of researchers
• A versatile and interdisciplinary job and the possibility to pursue a PhD
• A flexible working environment to support professional and academic further developments
• Contacts to international research institutions and companies in the field of wind energy
• Opportunities to participate in international conferences, workshops and collaboration tasks (e.g. IEA Wind Task 32)

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. Applicants with disability and with equal qualifications will be given preference.

Your application in English or German should include your curriculum vitae, transcript of grades, job references, and an electronical copy of the final thesis of your studies or relevant research papers

10/07/20
Doctoral candidate (m/f/d)
Organization:
ForWind - Center for Wind Energy Research
Location:
Oldenburg, Germany
Application deadline:
10/07/20
Application link:
12/07/20
Research Assistant (f/m/d)
Organization:
ForWind - Center for Wind Energy Research
Location:
Oldenburg, Germany
Application deadline:
12/07/20
Application link:
31/07/20
Postdoctoral position on condition monitoring for wind turbine drivetrains
Organization:
Vrije Universiteit Brussel
Location:
Brussels, Belgium
Application deadline:
31/07/20

Supervisors:

Primary supervisor: Prof. Jan Helsen

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, DEME, …

The team has a core focus on wind energy in the context of OWI-lab. 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.


Postdoc job 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 drivetrain monitoring (bearings, gears, generator,… through vibrations, currents, …) . 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. On top of the meaningful academic and industrial experience , we encourage going abroad and presenting your work at international conference. Since this is a postdoc position, one of your responsibilities will also be to mentor and supervise PhD and master thesis students. You also need to be willing to help out in writing parts of or giving input for project proposals. It is also possible you will be given minor teaching tasks.

Entry requirements

Applicants should preferably have:

  • PhD degree in Mechanical, Electrical, Computer Science, or Mathematical engineering
  • A relevant Master’s degree and/or experience in one or more of the following would 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 Postdoc position normally lasts at least 2 years, with potential extension.

Contact details

Mail to jan.helsen@vub.be

How to apply

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



31/07/20
PhD position in the MSCA ITN FLOAWER: Hydrodynamic analysis and numerical modelling of heave-plates dedicated to the design of floating WT.
Organization:
Centrale Nantes
Location:
Nantes, France
Application deadline:
31/07/20

Context

Centrale Nantes has a new PhD position available within the framework of the EU-funded FLOAWER project. FLOAWER project main goal is to train 13 early stage researchers (ESRs) to design better performing, economically viable floating wind turbines.


Among these ESRs, Centrale Nantes has one about the hydrodynamic analysis and numerical modelling of heave-plates dedicated to the design of floating WT.


Heave plates are commonly used in floating wind energy for shifting the resonance periods of the platform out of the predominant wave periods and for damping the motion of the whole structure. During the design phases, heave plates are generally modelled in engineering design tools through Morison-type empirical formulations. These formulations are based on hydrodynamic coefficients that strongly depend on the flow properties (Keulegan–Carpenter number, Reynolds number) and are generally determined experimentally. Several hydrodynamic database are publically available that provides data for different shapes and flow properties but come from a literature dedicated to classical offshore engineering with structures relatively different to the ones developed in the FOW community (larger diameter of heave plates, larger amplitudes of motion, position wrt the free surface).


Objectives

One of the objectives therefore lies in the implementation of a new methodology based on both CFD calculations and wave tank tests for obtaining a comprehensive hydrodynamic database dedicated to the floating wind community. Wave tank tests and simulations will be carried out for various geometry, column-diameter/heave-plate diameter ratio and heave-plate depth. Experimental tests will be conducted in ECN 3D-wave tank with realistic design and operation sea-states. The PhD student will participate to the design, setup, experimental campaign, and result analysis. Numerical tests will be conducted with an in-house variant of OpenFOAM dedicated to wave-structure interaction through the coupling with accurate deterministic wave evolution models. The PhD student will setup, run and analyze the different cases, including some specific numerical developments if needed.


A second objective will be the characterization of the validation domain of state-of-the-art engineering models for modelling heave-plates and their improvement through a model derived from the experimental and numerical study.


Expected Results

  • Hydrodynamic database for various geometries (column-diameter/heave-plate diameter ratio and heave-plate depth…)
  • Improved numerical engineering models for modelling heave-plates.

Planned secondment(s)

Secondments are planned for all ESRs of FLOAWER project. For the present PhD position, the student will have to spend 3 months during the first year at NTNU in Norway (supervisor Erin Bachynski), to learn on on the design and the experimental testing of heave-plates. At the end of the 2nd year, the student will spend 3 month at IDEOL in La Ciotat (supervisor Riccardo Mariani) to work on a study case on the modelling of heave-plates for barge-like foundation.


Additional Information


Benefits


  • Salary: The successful candidates will be employed on a full-time basis with a competitive salary in accordance with the MSCA rules and the personal circumstances of the applicant. The successful candidate will receive a financial package consisting of MSCA living allowance and mobility allowance. Eligible applicants with a family will also receive an additional family allowance according to the rules of the MSCA. The exact (net) salary will be confirmed upon appointment and will depend on a Host Institution's local tax regulations.

  • Supervision: ESRs will benefit from joint supervision and multi-sectoral advisory committees, ensuring the successful completion of their Individual Research projects.

  • Training: In addition to their individual scientific projects ESRs will be collaborating with world leading research groups within the Consortium through secondments. All ESRs will benefit from extensive and varied further continuing education, completing a series of carefully designed training modules and transferable skills courses; they will participate in symposia, workshops and international conferences and will have meaningful exposure to the industrial environment through FLOAWER industrial partners.

Eligibility criteria

Applicants need to fully respect three eligibility criteria[1] (to be demonstrated in the CV):


  • At the core of the MSCA-ITNs is researcher mobility. At the time of commencing their FLOAWER employment, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their (recruiting) host organisation for more than 12 months in the 3 years immediately prior to their recruitment. Short stays, such as holidays, are not taken into account

  • Applicants must at the first day of their FLOAWER employment contract, be in the first four years (full-time equivalent research experience) of their research career and have not been awarded a doctoral degree. This research experience is measured FROM the date when they obtain the degree which formally entitles them to embark on a doctorate (either in the country in which the degree was obtained or in the country in which the researcher is recruited, even if a doctorate was never started or envisaged). Research Experience is measured TO the first day of the FLOAWER employment contract of the researcher.

  • English language proficiency: ESRs must demonstrate proficiency in both written and spoken English. This is mandatory for the ESRs to take full advantage of the training program.

Usual MSCA Eligibility Criteria apply and will be verified during the application process. For more information on MSCA, please see : http://ec.europa.eu/mariecurieactions.


Selection process

All applicants must send a CV and cover letter to: contact-floawer@ec-nantes.fror jean-christophe.gilloteaux@ec-nantes.fr


A recruitment committee will evaluate the applications and contact the selected applicants for a teleconference interview.