Jobs

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

31/05/20
two-way meso–micro coupling for wind farm planning, forecasting and nowcasting
Organization:
KU Leuven
Location:
Leuven, Belgium
Application deadline:
31/05/20
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.


BACKGROUND

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.


PHD PROJECT DESCRIPTION

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).



CANDIDATE PROFILES

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.


APPLICATION

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.


31/05/20
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:
31/05/20
Application link:
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

01/06/20
PhD scholarship in lidar remote sensing for wind energy
Organization:
Technical University of Denmark
Location:
Roskilde, Denmark
Application deadline:
01/06/20
Application link:

PhD scholarship in lidar remote sensing for wind energy


Are you enthusiastic about the leading renewable energy in the world? If you are interested in understanding the atmospheric flow around large offshore wind farms and motivated by discovering the underlying mechanisms that drive their power production, this PhD project can be for you.


Join us in Train2Wind as a prestigious Marie Sk?odowska-Curie Early Stage Researcher. Train2Wind is a PhD and researcher training school analysing entrainment in offshore wind farms with computer models and experiments.


By its very nature, a wind turbine extracts energy from the wind, which for a single wind turbine is replenished from the wind field on the sides and above due to the ambient turbulence. However, offshore, the turbulence is lower, and wind farms are typically larger than onshore, therefore the wind can only be replenished from above in a process called entrainment. With a network of 12 PhDs and 8 short-term fellows, Train2Wind will investigate the entrainment process using advanced high-resolution computer and wind tunnel modelling together with measurements of the wind field above, inside and downstream of large wind farms, using lidars, radars and Unmanned Aerial Systems (UAS).


Your contribution in this PhD project of the Train2Wind training network will be to use and exploit lidars (light detection and ranging, a laser based instrument that can measure wind speed remotely through the Doppler effect) to understand the atmospheric flow and its interaction with large wind farms. You will analyze existing measurements and make new measurements in order to understand how momentum is transported in the atmosphere and how wind speed and directions change with height which is of importance to wind farms.


Responsibilities and tasks


Your primary tasks will be to:



  • Analyse lidar observations of the atmosphere and around large wind farms.

  • Understand the wind speed and direction profiles comparing to models

  • Test if lidars can be used to measure the transport of momentum in the atmosphere and around wind farms.

  • Participate in scientific conferences and workshops as well as events in the Train2Wind training network.

  • Publish your findings in scientific journals.


Qualifications

Candidates should have a two-year master's degree (120 ECTS points) obtained before the start of the position or a similar degree with an academic level equivalent to a two-year master's degree. In addition, we expect that you have:



  • A background in physics, engineering, geoscience, or similar.

  • A basic understanding of fluid mechanics or boundary-layer meteorology.

  • Experience with analysis of large data sets and scientific programming

  • Clear and concise communication skills in English.

  • A positive attitude, a strong drive and eagerness to learn.


You also work efficiently in a project team and take responsibility for your own research goals. There are additional criteria for Marie Sk?odowska-Curie Early Stage Researchers (see below).


Approval and Enrolment


According to EU eligibility criteria for candidates, you have:



  • Less than 4 years of equivalent research experience (i.e. working as a researcher after obtaining your master’s degree).

  • Not been awarded a title of PhD.

  • Not resided or carried out your main activity in Denmark, for more than 12 months within the last 3 years.


The present PhD project will take advantage of collaboration with researchers and engineers at DTU and at external partners in academia as well as the industry. You are expected to conduct a research stay abroad as part of the project.


The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.


Assessment


The assessment of the applicants will be made by Professor Jakob Mann, Senior Scientist Mikael Sjöholm, Senior Scientist Gregor Giebel and Head of Section Hans E. Jørgensen.


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 period of employment is 3 years.


You will be working at DTU’s Risø Campus in Roskilde, Denmark.


You can read more about career paths at DTU here.


Further information


Further information may be obtained from Professor Jakob Mann, tel.: +45 2136 2962 (jmsq@dtu.dk).


You can read more about DTU Wind Energy here.


Application


Please submit your online application no later than 1 June 2020 (23:59 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 out 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)


Candidates may apply prior to obtaining their master's degree but cannot begin before having received it.


Applications and enclosures received after the deadline will not be considered.


All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.


DTU Wind Energy


DTU Wind Energy is one of the largest and most well-known university department for wind energy in the world with 250 employees. We work in close collaboration with industrial partners and other universities from all over the world. We possess scientific and engineering competences to the highest international standards with a focus on onshore and offshore wind energy. We work towards the vision of creating a better world through creation of a more sustainable environment.


Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.



01/06/20
PhD scholarship in satellite remote sensing for offshore wind energy
Organization:
Technical University of Denmark
Location:
Roskilde, Denmark
Application deadline:
01/06/20
Application link:
Are you enthusiastic about the leading renewable energy in the world? If you are interested in understanding the atmospheric flow around large offshore wind farms and motivated by discovering the underlying mechanisms that drive their power production, this PhD project can be for you. Join us in Train2Wind as a prestigious Marie Sk?odowska-Curie Early Stage Researcher. Train2Wind is a PhD and researcher training school analysing entrainment in offshore wind farms with computer models and experiments.

By its very nature, a wind turbine extracts energy from the wind, which for a single wind turbine is replenished from the wind field on the sides and above due to the ambient turbulence. However, offshore, the turbulence is lower, and wind farms are typically larger than onshore, therefore the wind can only be replenished from above in a process called entrainment. With a network of 12 PhDs and 8 short-term fellows, Train2Wind will investigate the entrainment process using advanced high-resolution computer and wind tunnel modelling together with measurements of the wind field above, inside and downstream of large wind farms, using lidars, radars and Unmanned Aerial Systems (UAS).

In this PhD project of Train2Wind training network, the aim is to investigate how observations from satellites can contribute to a better understanding of the entrainment process and the flow dynamics around large offshore wind farms. You will analyze physical parameters in the atmosphere and the ocean – and at the boundary between the two. The starting point will be a large archive of wind fields retrieved from Synthetic Aperture Radar (SAR) observations. You will use these wind fields to investigate wind farm wakes, blockage effects, speed-up and more in the vicinity of existing offshore wind farms in Europe. You will also examine the flow conditions before and after the wind farm construction and compare with in situ observations and model outputs at different scales. An essential aspect of your research will be to investigate how temperature driven stability effects impact the wind speed from the sea surface to the turbine hub height and you may develop new methods for satellite-based estimation of the wind profile. You may also consider the dynamics in the ocean e.g. the seawater turbidity around large offshore wind farms.

Responsibilities and tasks
Your primary tasks will be to:
• Analyse satellite observations around large offshore wind farms.
• Retrieve physical parameters from satellite observations (e.g. the wind speed, sea surface temperature, suspended sediment).
• Investigate the strengths and limitations of satellite observations in connection with the entrainment process around offshore wind farms.
• Develop routines for efficient handling of large quantities of data from satellites and other sources.
• Participate in scientific conferences and workshops as well as events in the Train2Wind training network.
• Publish your findings in scientific journals.

Qualifications
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. In addition, we expect that you have:
• A background in geoscience, physics, engineering, or similar.
• A basic understanding of boundary-layer meteorology e.g. atmospheric stability and turbulence.
• Experience with analysis of large geospatial data sets.
• Scientific programming and scripting experience, preferably with Python.
• Clear and concise communication skills in English.
• A positive attitude, a strong drive and eagerness to learn.

You also work efficiently in a project team and take responsibility for your own research goals. There are additional criteria for Marie Sk?odowska-Curie Early Stage Researchers (see below).

Approval and Enrolment
According to EU eligibility criteria for candidates, you have:

• Less than 4 years of equivalent research experience (i.e. working as a researcher after obtaining your master’s degree).
• Not been awarded a title of PhD.
• Not resided or carried out your main activity in Denmark, for more than 12 months within the last 3 years.

The present PhD project will take advantage of collaboration with researchers and engineers at DTU and at external partners in academia as well as the industry. You are expected to conduct a research stay abroad as part of the project.

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide: https://www.dtu.dk/english/Education/PhD/Rules/PhDguide

Assessment
The assessment of the applicants will be made by Head of Section Hans Ejsing Jørgensen, Senior Researcher Gregor Giebel, Senior Researcher Merete Badger and Senior Researcher Ioanna Karagali.

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 period of employment is 3 years.

You will be working at DTU’s Risø Campus in Roskilde, Denmark.

You can read more about career paths at DTU here: https://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths

Further information
Further information may be obtained from Senior Scientist Merete Badger, tel.: +45 2132 8606.

You can read more about DTU Wind Energy here: https://www.vindenergi.dtu.dk/english

Application
Please submit your online application no later than June 1st 2020 (local time). Apply online at www.career.dtu.dk.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out 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: https://www.dtu.dk/english/Education/phd/Applicant/Pre_acceptance-1-)

Candidates may apply prior to ob¬tai¬ning their master's degree but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Wind Energy
DTU Wind Energy is one of the largest and most well-known university department for wind energy in the world with 250 employees. We work in close collaboration with industrial partners and other universities from all over the world. We possess scientific and engineering competences to the highest international standards with a focus on onshore and offshore wind energy. We work towards the vision of creating a better world through creation of a more sustainable environment.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup.

10/06/20
Post-doctoral position in control co-design and optimization of floating wind turbines
Organization:
University of Colorado Boulder and Colorado School of Mines
Location:
Boulder and Golden, United States of America
Application deadline:
10/06/20
Application link:
We are seeking an outstanding post-doctoral researcher for the development and co-optimization of controllers along with the design of a novel floating wind turbine. This post-doctoral position is available immediately for an expected duration of 12 months. Candidates should have a strong background in aerospace, mechanical, and/or electrical engineering with a specialization in control systems. Familiarity with issues related to the control, design, and simulation of wind turbines and/or floating structures and NREL-developed software tools for evaluating wind turbine control algorithms will be beneficial, as will leadership and mentoring skills. The candidate will work as part of a collaborative, creative, interdisciplinary team and should have excellent written and oral communication skills. The position will be jointly appointed at both Colorado School of Mines (Golden, CO) and University of Colorado Boulder (Boulder, CO), and the applicant must meet requirements to gain site access at the US National Renewable Energy Laboratory.

To apply for the position, please send the following all in one PDF file to both email addresses below: (1) a cover letter summarizing your interest, (2) CV, and (3) contact information for at least three references. Applications received before May 25, 2020 will receive full consideration. The deadline to apply is June 10, 2020.

Professor Kathryn E. Johnson
Electrical Engineering Department
Colorado School of Mines
1610 Illinois St.
Golden, CO 80401 USA
Email: kjohnson@mines.edu
http://inside.mines.edu/~kjohnson/

Professor Lucy Y. Pao
Electrical, Computer, & Energy Engr. Dept.
425 UCB
University of Colorado Boulder
Boulder, CO 80309 USA
Email: pao@colorado.edu
https://www.colorado.edu/faculty/pao/
31/07/20
Postdoctoral position on condition monitoring for wind turbine drivetrains
Organization:
Vrije Universiteit Brussel
Location:
Brussels, Belgium
Application deadline:
31/07/20
Application link:

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
Application link:

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.